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Mr Yuekang Li

Mr Yuekang Li

Senior Lecturer
Engineering
Computer Science and Engineering

Dr Yuekang Li is a Senior Lecturer in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney. He leads an independent research team focusing on software engineering, cybersecurity, and trustworthy artificial intelligence.

He is the Principal Investigator of an Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA) project on explainable fuzz testing for software vulnerability detection. His research spans software testing, program analysis, AI-powered software engineering, and the security and reliability of large language models (LLMs) and autonomous AI agents. He supervises PhD and research students and leads research projects aimed at improving the security, reliability, and trustworthiness of software and AI systems.

Prior to joining UNSW, he was a Research Assistant Professor at Nanyang Technological University (NTU), Singapore, where he received his Ph.D. and bachelor's degrees in 2020 and 2016, respectively.
E-mail
yuekang.li@unsw.edu.au
Location
School of Computer Science and Engineering Room 501-G, K17 Building UNSW Kensington Campus
  • Book Chapters | 2027
    Farhan K; Li Y; Xue J, 2027, 'Holmes: Forensic-Aware Design and Evaluation of Large Language Models for Procedurally Constrained Digital Investigations', in , pp. 3 - 18, http://dx.doi.org/10.1007/978-981-92-2859-1_1
    Book Chapters | 2026
    Xiao ZK; Wang Q; Li Y; Chen S, 2026, 'Prompt to Pwn: Automated Exploit Generation for Smart Contracts', in , pp. 445 - 473, http://dx.doi.org/10.1007/978-981-92-3012-9_19
  • Journal articles | 2026
    Feng W; Li X; Feng R; Zhang Y; Li Y; Zhou Z; Wang Y; Li Y, 2026, 'Determining the Unreachable: Constraint-Guided Reachability Analysis for Dependency Vulnerabilities', Proceedings of the ACM on Programming Languages, 10, pp. 1514 - 1541, http://dx.doi.org/10.1145/3798255
    Journal articles | 2026
    Ge J; Zheng Y; Li Y; Ma W; Habib SM; Kakkolangara P; Byman GW; Liu Y, 2026, 'OptRCA: A More Efficient and Accurate Approach for Automated Root Cause Analysis and Explanation', ACM Transactions on Software Engineering and Methodology, 35, http://dx.doi.org/10.1145/3736718
    Journal articles | 2026
    Kan S; Li Y; He W; Xing Z; Zhu L; Sui Y, 2026, 'Spectre: Automated Aliasing Specification Generation for Library APIs with Fuzzing', ACM Transactions on Software Engineering and Methodology, 35, http://dx.doi.org/10.1145/3725811
    Journal articles | 2026
    Li N; Song Y; Li Y; Shi L; Liu Y; Wang H; Wang K, 2026, 'Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning', IEEE Transactions on Software Engineering, http://dx.doi.org/10.1109/TSE.2026.3731191
    Journal articles | 2025
    Li S; Xie K; Li Y; Li H; Ren Y; Sun L; Zhu H, 2025, 'TransferFuzz-Pro: Large Language Model Driven Code Debugging Technology for Verifying Propagated Vulnerability', IEEE Transactions on Software Engineering, 51, pp. 2396 - 2411, http://dx.doi.org/10.1109/TSE.2025.3584774
    Journal articles | 2025
    Liu Y; Deng G; Ding J; Li Y; Zhang T; Sun W; Zheng Y; Ge J, 2025, 'Mission: Impossible – Image-Based Geolocation with Large Vision Language Models', Proceedings on Privacy Enhancing Technologies, 2025, pp. 410 - 428, http://dx.doi.org/10.56553/popets-2025-0137
    Journal articles | 2025
    Wang S; Li Y; Wang K; Liu Y; Li H; Liu Y; Wang H, 2025, 'MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps via Two-phase Iterative Hybrid Analysis', ACM Transactions on Software Engineering and Methodology, 34, http://dx.doi.org/10.1145/3709351
    Journal articles | 2024
    Li N; Li Y; Liu Y; Shi L; Wang K; Wang H, 2024, 'Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models', Proceedings of the ACM on Programming Languages, 8, http://dx.doi.org/10.1145/3689776
    Journal articles | 2024
    Li Y; Liu Y; Deng G; Zhang Y; Song W; Shi L; Wang K; Li Y; Liu Y; Wang H, 2024, 'Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection', Proceedings of the ACM on Software Engineering, 1, pp. 2075 - 2097, http://dx.doi.org/10.1145/3660799
    Journal articles | 2024
    Zhang X; Zhang C; Li X; Du Z; Mao B; Li Y; Zheng Y; Li Y; Pan L; Liu Y; Deng R, 2024, 'A Survey of Protocol Fuzzing', ACM Computing Surveys, 57, http://dx.doi.org/10.1145/3696788
    Journal articles | 2022
    Li S; Xie X; Lin Y; Li Y; Feng R; Li X; Ge W; Dong JS, 2022, 'Deep Learning for Coverage-Guided Fuzzing: How Far are We?', IEEE Transactions on Dependable and Secure Computing, pp. 1 - 13, http://dx.doi.org/10.1109/TDSC.2022.3200525
    Journal articles | 2022
    Wei X; Xiao M; Wang B; Wang C; Li Y; Dou J; Cui Z; Dou J; Wang H; Ma S; Zhu C; Yuan G; Yang N; Song T; Zhou H; Chen H; Bai Y; Chen Q, 2022, 'Avoiding Structural Collapse to Reduce Lead Leakage in Perovskite Photovoltaics', Angewandte Chemie International Edition, 61, pp. e202204314, http://dx.doi.org/10.1002/anie.202204314
    Journal articles | 2022
    Yao S; Chen C; Chen Q; Zhang J; Li Y; Zeng Y, 2022, 'An integrated hydrodynamic and multicriteria evaluation Cellular Automata–Markov model to assess the effects of a water resource project on waterbird habitat in wetlands', Journal of Hydrology, 607, pp. 127561, http://dx.doi.org/10.1016/j.jhydrol.2022.127561
    Journal articles | 2020
    Li Y; Zhou X; Chen J; Guo W; He S; Gao S; Peng P, 2020, 'Laser-Patterned Copper Electrodes for Proximity and Tactile Sensors', Advanced Materials Interfaces, 7, http://dx.doi.org/10.1002/admi.201901845
    Journal articles | 2020
    Yao S; Li X; Liu C; Zhang J; Li Y; Gan T; Liu B; Kuang W, 2020, 'New assessment indicator of habitat suitability for migratory bird in wetland based on hydrodynamic model and vegetation growth threshold', Ecological Indicators, 117, pp. 106556, http://dx.doi.org/10.1016/j.ecolind.2020.106556
    Journal articles | 2019
    Luo H; Lou VWQ; Li Y; Chi I, 2019, 'Development and Validation of a Prognostic Tool for Identifying Residents at Increased Risk of Death in Long-Term Care Facilities', Journal of Palliative Medicine, 22, pp. 258 - 266, http://dx.doi.org/10.1089/jpm.2018.0219
  • Conference Papers | 2027
    Li Y; Liu Y; Li Y; Shi L; Deng G; Chen S; Wang K, 2027, 'Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment', in Lecture Notes in Computer Science, pp. 61 - 76, http://dx.doi.org/10.1007/978-3-032-31583-0_5
    Conference Papers | 2026
    Chen Z; Zhang Y; Liu Y; Deng G; Li Y; Zhang Y; Ning J; Zhang LY; Ma L; Li Z, 2026, 'How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study', Association for Computing Machinery (ACM), pp. 536 - 548, presented at Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering, http://dx.doi.org/10.1145/3832783.3834373
    Preprints | 2026
    Chen Z; Zhang Y; Liu Y; Deng G; Li Y; Zhang Y; Ning J; Zhang LY; Ma L; Li Z, 2026, How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study, http://dx.doi.org/10.48550/arxiv.2604.03070
    Conference Papers | 2026
    Cheng Z; Wan Y; Liu D; Li Y; Jiang Y; Gong D, 2026, 'CSTutorBench: Benchmarking Large Language Models for Realistic Computer Science Tutoring', in SIGCSE TS 2026 Proceedings of the 57th ACM Technical Symposium on Computer Science Education V 2, pp. 1263 - 1264, http://dx.doi.org/10.1145/3770761.3777333
    Preprints | 2026
    Ding J; Dong J; Zhu Y; Liu Y; Deng G; Susilo W; Ma S; Li Y, 2026, AI Slop and Hallucinations in Vulnerability Assessment: A Survey on Reasoning Failures and Trustworthy Mitigation, http://dx.doi.org/10.48550/arxiv.2608.25667
    Conference Papers | 2026
    Ding Z; Xu S; Song W; Li Y, 2026, 'NgCaptcha: A CAPTCHA Bridging the Past and the Future', in Www Companion 2026 Companion Proceedings of the ACM Web Conference 2026, pp. 104 - 107, http://dx.doi.org/10.1145/3774905.3793112
    Conference Papers | 2026
    Han T; Song W; Ding Z; Li Z; Fang C; Li Y; Liu D; Chen Z; Wang Z, 2026, 'Debiasing LLMs by Masking Unfairness-Driving Attention Heads', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 37980 - 37992
    Conference Papers | 2026
    Jiang L; Li Y; Zhang X; Ding Y; Pan L, 2026, 'SceneJailEval: A Scenario-Adaptive Multi-Dimensional Framework for Jailbreak Evaluation', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 35553 - 35561, http://dx.doi.org/10.1609/aaai.v40i42.40866
    Conference Papers | 2026
    Kan S; Li Y; Cheng X; Sui Y, 2026, 'SpecGuru: Hierarchical LLM-Driven API Points-to Specification Generation with Self-Validation', in Proceedings 2026 IEEE ACM 48th International Conference on Software Engineering ICSE 2026, pp. 1200 - 1212, http://dx.doi.org/10.1145/3744916.3773209
    Conference Papers | 2026
    Li Y; Li W; Song W; Liu Y; Deng G, 2026, 'SAF: An AI-Agent-Ready and Browser-Accessible Static Analysis Framework for LLVM IR', Association for Computing Machinery (ACM), pp. 3373 - 3376, presented at Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering, http://dx.doi.org/10.1145/3832783.3834597
    Preprints | 2026
    Li Y; Liu Y; Li Y; Shi L; Deng G; Chen S; Wang K, 2026, Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment, http://dx.doi.org/10.48550/arxiv.2405.13068
    Conference Papers | 2026
    Liao Y; Jiang Y; Bandara M; Li Y; Samarasekara I; Guo Z; Leuva D; Joukhadar G, 2026, 'Exploring Trust in Human-LLM Feedback Systems: Observation of Student Behaviour in Software Engineering Education', in SIGCSE TS 2026 Proceedings of the 57th ACM Technical Symposium on Computer Science Education V 2, pp. 1419 - 1420, http://dx.doi.org/10.1145/3770761.3777342
    Preprints | 2026
    Liu Y; Chen Z; Zhang Y; Deng G; Li Y; Ning J; Zhang LY, 2026, "Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild, http://dx.doi.org/10.48550/arxiv.2602.06547
    Preprints | 2026
    Liu Y; Wang W; Feng R; Zhang Y; Xu G; Deng G; Li Y; Zhang L, 2026, Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale, http://dx.doi.org/10.48550/arxiv.2601.10338
    Preprints | 2026
    Qu Y; Liu Y; Deng G; Zhang Y; Li Y; Zhang Y; Zhang LY, 2026, SNARE: Adaptive Scenario Synthesis for Eliciting Overeager Behavior in Coding Agents, http://dx.doi.org/10.48550/arxiv.2605.28122
    Preprints | 2026
    Qu Y; Liu Y; Geng T; Deng G; Li Y; Zhang LY; Zhang Y; Ma L, 2026, Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems, http://dx.doi.org/10.48550/arxiv.2604.03081
    Preprints | 2026
    Qu Y; Zhang Y; Zhang Y; Deng G; Li Y; Zhang LY; Liu Y, 2026, Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks, http://dx.doi.org/10.48550/arxiv.2605.18583
    Conference Papers | 2026
    Shrestha MM; Wong W; Al Zeidat O; Jiang Y; Li Y, 2026, 'Diverse Claire: An AI-Powered UDL Approach Bridging Educational Experience Gaps in CS1', Association for Computing Machinery (ACM), pp. 1714 - 1714, presented at Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, http://dx.doi.org/10.1145/3770761.3777125
    Preprints | 2026
    Wang Y; Liu Y; Deng G; Zhang Y; Li Y; Chen Z; Zhang L, 2026, MaliciousSkillBench: A Comprehensive Benchmark for Malicious Agent Skill Detection, http://dx.doi.org/10.48550/arxiv.2608.19901
    Conference Papers | 2026
    Wong W; Jiang Y; Li Y, 2026, 'DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners', in SIGCSE TS 2026 Proceedings of the 57th ACM Technical Symposium on Computer Science Education V 2, pp. 1585 - 1586, http://dx.doi.org/10.1145/3770761.3777340
    Conference Papers | 2026
    Xu S; Ding Z; Cheng X; Li Y; Sun N; Turnbull B; Kan S; Ma S, 2026, 'PufferDoS: Efficient and Effective Attack String Generation for Regular Expression Denial of Service Vulnerabilities', in Proceedings IEEE Symposium on Security and Privacy, pp. 3984 - 4002, http://dx.doi.org/10.1109/SP63933.2026.00169
    Preprints | 2026
    Xu S; Ding Z; Cheng X; Li Y; Sun N; Turnbull B; Kan S; Ma S, 2026, PUFFERDOS: Efficient and Effective Attack String Generation for Regular Expression Denial of Service Vulnerabilities, http://dx.doi.org/10.48550/arxiv.2606.19654
    Conference Papers | 2026
    Xu S; Song W; Li Y; Sun N; Ahmed ME; Susilo W; Turnbull B; Cheng X; Ma S, 2026, 'RamFuzz: LLM-Guided Greybox Fuzzing for Spatial Memory Corruption via Valid Range Violation', Association for Computing Machinery (ACM), pp. 1908 - 1920, presented at Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering, http://dx.doi.org/10.1145/3832783.3837447
    Conference Papers | 2026
    Xu Z; Ding J; Lou Y; Zhang K; Gong D; Li Y, 2026, 'Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 19433 - 19440, http://dx.doi.org/10.1609/aaai.v40i23.39021
    Preprints | 2026
    Xu Z; Li Y; Deng G; Liu Y; Xing Z, 2026, Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code, http://dx.doi.org/10.48550/arxiv.2607.01903
    Conference Papers | 2026
    Xu Z; Liu Y; Li Y; Shi L; Wang K; Zhao Y, 2026, 'A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 39495 - 39503, http://dx.doi.org/10.1609/aaai.v40i46.41300
    Preprints | 2026
    Xu Z; Liu Y; Li Y; Shi L; Wang K; Zhao Y, 2026, STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People who Stutter, http://dx.doi.org/10.48550/arxiv.2601.10223
    Conference Papers | 2026
    Yu C; Li Y; Xiao Y; Lu J; Li Y; Bo D; Huo W, 2026, 'LifeFuzz: Lifecycle-Guided Fuzzing for Windows Driver Cross-Handler Vulnerabilities', in Eurosys 2026 Proceedings of the 2026 European Conference on Computer Systems, pp. 2022 - 2036, http://dx.doi.org/10.1145/3767295.3803624
    Conference Papers | 2026
    Yu M; Rabhi F; Suleiman B; Liu N; Li Y, 2026, 'An Ontology-Driven Service-Oriented System for ESG Metric Computation and Reporting', in Proceedings of the IEEE International Conference on Web Services Icws, pp. 347 - 353, http://dx.doi.org/10.1109/ICWS72778.2026.00052
    Conference Papers | 2025
    Chen Z; Kemper P; Liu Y; Gorzny J; Siqueira D; Li Y; Pellegrino D; Derka M, 2025, 'A Methodology for Replicating Historical Exploits on EVM-Compatible Blockchains', in Proceedings 2025 IEEE ACM 7th International Workshop on Emerging Trends in Software Engineering for Blockchain Wetseb 2025, pp. 57 - 60, http://dx.doi.org/10.1109/WETSEB66605.2025.00014
    Preprints | 2025
    Ding J; Jiang P; Xu Z; Ding Z; Zhu Y; Jiang J; Li Y, 2025, "Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas, http://dx.doi.org/10.48550/arxiv.2508.07284
    Conference Papers | 2025
    Ding J; Zhang J; Liu Y; Ding Z; Deng G; Li Y, 2025, 'TOMBRAIDER: Entering the Vault of History to Jailbreak Large Language Models', in Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 5478 - 5493, http://dx.doi.org/10.18653/v1/2025.emnlp-main.279
    Preprints | 2025
    Ding J; Zhang J; Liu Y; Ding Z; Deng G; Li Y, 2025, TombRaider: Entering the Vault of History to Jailbreak Large Language Models, http://dx.doi.org/10.48550/arxiv.2501.18628
    Conference Papers | 2025
    Ding Z; Deng G; Liu Y; Ding J; Chen J; Sui Y; Li Y, 2025, 'IllusionCAPTCHA: A CAPTCHA based on Visual Illusion', in Www 2025 Proceedings of the ACM Web Conference, pp. 3683 - 3691, http://dx.doi.org/10.1145/3696410.3714726
    Preprints | 2025
    Ding Z; Deng G; Liu Y; Ding J; Chen J; Sui Y; Li Y, 2025, IllusionCAPTCHA: A CAPTCHA based on Visual Illusion, http://dx.doi.org/10.48550/arxiv.2502.05461
    Conference Papers | 2025
    Ding Z; Fu Q; Ding J; Deng G; Liu Y; Li Y, 2025, 'A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories', in Proceedings 46th IEEE Symposium on Security and Privacy Workshops Spw 2025, pp. 260 - 264, http://dx.doi.org/10.1109/SPW67851.2025.00036
    Preprints | 2025
    Ding Z; Fu Q; Ding J; Deng G; Liu Y; Li Y, 2025, A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories, http://dx.doi.org/10.48550/arxiv.2505.01067
    Preprints | 2025
    Jiang L; Li Y; Zhang X; Ding Y; Pan L, 2025, SceneJailEval: A Scenario-Adaptive Multi-Dimensional Framework for Jailbreak Evaluation, http://dx.doi.org/10.48550/arxiv.2508.06194
    Conference Papers | 2025
    Jin D; Fu Q; Li Y, 2025, 'Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation', in Proceedings 46th IEEE Symposium on Security and Privacy Workshops Spw 2025, pp. 278 - 282, http://dx.doi.org/10.1109/SPW67851.2025.00039
    Preprints | 2025
    Jin D; Fu Q; Li Y, 2025, Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation, http://dx.doi.org/10.48550/arxiv.2505.01065
    Conference Papers | 2025
    Kute DV; Xu Z; Li Y; Rabhi F, 2025, 'Truman: A Large Language Model-based Multi-agent Simulator for Synthetic Money Laundering Data Generation', in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, pp. 2594 - 2596
    Preprints | 2025
    Li N; Song Y; Wang K; Li Y; Shi L; Liu Y; Wang H, 2025, Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning, http://dx.doi.org/10.48550/arxiv.2502.13416
    Conference Papers | 2025
    Li S; Li Y; Chen Z; Dong C; Wang Y; Li H; Chen Y; Zhu H, 2025, 'TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code', in Proceedings International Conference on Software Engineering, pp. 268 - 280, http://dx.doi.org/10.1109/ICSE55347.2025.00061
    Preprints | 2025
    Li Y; Meng G; Sun M; Wang Y; Sun K; Chang H; Li Y, 2025, NeuroDeX: Unlocking Diverse Support in Decompiling Deep Neural Network Executables, http://dx.doi.org/10.48550/arxiv.2509.06402
    Preprints | 2025
    Li Y; Song W; Zhu B; Gong D; Liu Y; Deng G; Chen C; Ma L; Sun J; Walsh T; Xue J, 2025, ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet, http://dx.doi.org/10.48550/arxiv.2505.07834
    Preprints | 2025
    Liu T; Deng Z; Meng G; Li Y; Chen K, 2025, Demystifying RCE Vulnerabilities in LLM-Integrated Apps, http://dx.doi.org/10.48550/arxiv.2309.02926
    Preprints | 2025
    Liu Y; Deng G; Li Y; Wang K; Wang Z; Wang X; Zhang T; Liu Y; Wang H; Zheng Y; Zhang LY; Liu Y, 2025, Prompt Injection attack against LLM-integrated Applications, http://dx.doi.org/10.48550/arxiv.2306.05499
    Conference Papers | 2025
    Shi J; Chen Y; Xiao Y; Li Y; Xu Z; Qiu S; Zhang C; Qi K; Li Y; Chen X; Zou Y; Liu Y; Huo W, 2025, 'A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners', in Proceedings 2025 40th IEEE ACM International Conference on Automated Software Engineering Ase 2025, pp. 1070 - 1082, http://dx.doi.org/10.1109/ASE63991.2025.00093
    Preprints | 2025
    Song W; Zhong H; Ding Z; Xue J; Li Y, 2025, Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models, http://dx.doi.org/10.48550/arxiv.2508.12566
    Conference Papers | 2025
    Sun W; Miao Y; Li Y; Zhang H; Fang C; Liu Y; Deng G; Liu Y; Chen Z, 2025, 'Source Code Summarization in the Era of Large Language Models', in Proceedings International Conference on Software Engineering, pp. 1882 - 1894, http://dx.doi.org/10.1109/ICSE55347.2025.00034
    Preprints | 2025
    Sun W; Miao Y; Li Y; Zhang H; Fang C; Liu Y; Deng G; Liu Y; Chen Z, 2025, Source Code Summarization in the Era of Large Language Models, http://dx.doi.org/10.48550/arxiv.2407.07959
    Conference Papers | 2025
    Wang J; Li Y; Wang K, 2025, 'KRAKEN-FUZZ: Minimizing Corpus During Ensemble Fuzzing', in Proceedings 2025 IEEE ACM International Workshop on Search Based and Fuzz Testing Sbft 2025, pp. 47 - 48, http://dx.doi.org/10.1109/SBFT66712.2025.00017
    Conference Papers | 2025
    Wang Y; Li X; Feng R; Zhang Y; Li Y; Zhou Z, 2025, 'It Only Gets Worse: Revisiting DL-Based Vulnerability Detectors from a Practical Perspective', in Proceedings Asia Pacific Software Engineering Conference APSEC, pp. 947 - 956, http://dx.doi.org/10.1109/APSEC66846.2025.00109
    Preprints | 2025
    Wong W; Jiang Y; Li Y, 2025, DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners, http://dx.doi.org/10.48550/arxiv.2511.14198
    Preprints | 2025
    Xiong Z; Wang D; Li Y; An X; Wang W, 2025, CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation, http://dx.doi.org/10.48550/arxiv.2507.19904
    Preprints | 2025
    Xu Z; Ding J; Lou Y; Zhang K; Gong D; Li Y, 2025, Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-based Test Oracles, http://dx.doi.org/10.48550/arxiv.2504.12312
    Conference Papers | 2025
    Xu Z; Liu Y; Deng G; Wang K; Li Y; Shi L; Picek S, 2025, 'Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models', in Proceedings 46th IEEE Symposium on Security and Privacy Workshops Spw 2025, pp. 270 - 277, http://dx.doi.org/10.1109/SPW67851.2025.00038
    Conference Papers | 2025
    Xuan W; Yang R; Qi H; Zeng Q; Xiao Y; Feng A; Liu D; Xing Y; Wang J; Gao F; Lu J; Jiang Y; Li H; Li X; Yu K; Dong R; Gu S; Li Y; Xie X; Juefei-Xu F; Khomh F; Yoshie O; Chen Q; Teodoro D; Liu N; Goebel R; Ma L; Marrese-Taylor E; Lu S; Iwasawa Y; Matsuo Y; Li I, 2025, 'MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation', in Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 1513 - 1532, http://dx.doi.org/10.18653/v1/2025.emnlp-main.79
    Preprints | 2025
    Xuan W; Yang R; Qi H; Zeng Q; Xiao Y; Feng A; Liu D; Xing Y; Wang J; Gao F; Lu J; Jiang Y; Li H; Li X; Yu K; Dong R; Gu S; Li Y; Xie X; Juefei-Xu F; Khomh F; Yoshie O; Chen Q; Teodoro D; Liu N; Goebel R; Ma L; Marrese-Taylor E; Lu S; Iwasawa Y; Matsuo Y; Li I, 2025, MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation, http://dx.doi.org/10.48550/arxiv.2503.10497
    Conference Papers | 2025
    Zhao J; Li Y; Zou Y; Xiao Y; Jiang N; Li Y; Zhong N; Peng B; Jian K; Huo W, 2025, 'From Constraints to Cracks: Constraint Semantic Inconsistencies as Vulnerability Beacons for Embedded Systems', in Proceedings of the 34th Usenix Security Symposium, pp. 685 - 704
    Conference Papers | 2024
    Deng G; Liu Y; Li Y; Wang K; Zhang Y; Li Z; Wang H; Zhang T; Liu Y, 2024, 'MASTERKEY: Automated Jailbreaking of Large Language Model Chatbots', Internet Society, presented at Proceedings 2024 Network and Distributed System Security Symposium, http://dx.doi.org/10.14722/ndss.2024.24188
    Conference Papers | 2024
    Deng G; Liu Y; Mayoral-Vilches V; Liu P; Li Y; Xu Y; Zhang T; Liu Y; Pinzger M; Rass S, 2024, 'PENTESTGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing', in Proceedings of the 33rd Usenix Security Symposium, pp. 847 - 864
    Preprints | 2024
    Deng G; Liu Y; Mayoral-Vilches V; Liu P; Li Y; Xu Y; Zhang T; Liu Y; Pinzger M; Rass S, 2024, PentestGPT: An LLM-empowered Automatic Penetration Testing Tool, http://dx.doi.org/10.48550/arxiv.2308.06782
    Preprints | 2024
    Deng G; Liu Y; Wang K; Li Y; Zhang T; Liu Y, 2024, Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning, http://dx.doi.org/10.48550/arxiv.2402.08416
    Conference Papers | 2024
    Du Z; Li Y; Zheng Y; Zhang X; Zhang C; Liu Y; Habib SM; Li X; Wang L; Liu Y; Mao B, 2024, 'Medusa: Unveil Memory Exhaustion DoS Vulnerabilities in Protocol Implementations', in Www 2024 Proceedings of the ACM Web Conference, pp. 1668 - 1679, http://dx.doi.org/10.1145/3589334.3645476
    Preprints | 2024
    Li H; Deng G; Liu Y; Wang K; Li Y; Zhang T; Liu Y; Xu G; Xu G; Wang H, 2024, Digger: Detecting Copyright Content Mis-usage in Large Language Model Training, http://dx.doi.org/10.48550/arxiv.2401.00676
    Preprints | 2024
    Li N; Li Y; Liu Y; Shi L; Wang K; Wang H, 2024, Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models, http://dx.doi.org/10.48550/arxiv.2405.00648
    Preprints | 2024
    Li S; Li Y; Chen Z; Dong C; Wang Y; Li H; Chen Y; Zhu H, 2024, TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code, http://dx.doi.org/10.48550/arxiv.2411.18347
    Preprints | 2024
    Li Y; Liu Y; Deng G; Zhang Y; Song W; Shi L; Wang K; Li Y; Liu Y; Wang H, 2024, Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection, http://dx.doi.org/10.48550/arxiv.2404.09894
    Conference Papers | 2024
    Liu T; Deng Z; Meng G; Li Y; Chen K, 2024, 'Demystifying RCE Vulnerabilities in LLM-Integrated Apps', in Ccs 2024 Proceedings of the 2024 ACM Sigsac Conference on Computer and Communications Security, pp. 1716 - 1730, http://dx.doi.org/10.1145/3658644.3690338
    Preprints | 2024
    Liu Y; Deng G; Xu Z; Li Y; Zheng Y; Zhang Y; Zhao L; Zhang T; Wang K; Liu Y, 2024, Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study, http://dx.doi.org/10.48550/arxiv.2305.13860
    Conference Papers | 2024
    Liu Y; Deng G; Xu Z; Li Y; Zheng Y; Zhang Y; Zhao L; Zhang T; Wang K, 2024, 'A Hitchhiker’s Guide to Jailbreaking ChatGPT via Prompt Engineering', in Sea4dq 2024 Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber Physical Systems Internet of Things Co Located with Esec Fse 2024, pp. 12 - 21, http://dx.doi.org/10.1145/3663530.3665021
    Preprints | 2024
    Liu Y; Ding J; Deng G; Li Y; Zhang T; Sun W; Zheng Y; Ge J; Liu Y, 2024, Image-Based Geolocation Using Large Vision-Language Models, http://dx.doi.org/10.48550/arxiv.2408.09474
    Conference Papers | 2024
    Wang G; Li Y; Liu Y; Deng G; Li T; Xu G; Liu Y; Wang H; Wang K, 2024, 'MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation', in Proceedings 2024 IEEE ACM 1st International Conference on AI Foundation Models and Software Engineering Forge 2024, pp. 12 - 23, http://dx.doi.org/10.1145/3650105.3652297
    Preprints | 2024
    Wang G; Li Y; Liu Y; Deng G; Li T; Xu G; Liu Y; Wang H; Wang K, 2024, MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation, http://dx.doi.org/10.48550/arxiv.2402.14480
    Preprints | 2024
    Wang S; Li Y; Wang K; Liu Y; Li H; Liu Y; Wang H, 2024, MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps via Two-phase Iterative Hybrid Analysis, http://dx.doi.org/10.48550/arxiv.2401.03218
    Conference Papers | 2024
    Xu Z; Liu Y; Deng G; Li Y; Picek S, 2024, 'A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models', in Martins A; Srikumar V; Ku LW (eds.), FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, ASSOC COMPUTATIONAL LINGUISTICS-ACL, THAILAND, Bangkok, pp. 7432 - 7449, presented at 62nd Annual Meeting of the Association-for-Computational-Linguistics (ACL) / Student Research Workshop (SRW), THAILAND, Bangkok, 11 August 2024 - 16 August 2024
    Preprints | 2024
    Xu Z; Liu Y; Deng G; Li Y; Picek S, 2024, A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models, http://dx.doi.org/10.48550/arXiv.2402.13457
    Preprints | 2024
    Xu Z; Liu Y; Deng G; Wang K; Li Y; Shi L; Picek S, 2024, Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models, http://dx.doi.org/10.48550/arxiv.2407.13796
    Conference Papers | 2024
    Yang W; Gao C; Liu X; Li Y; Xue Y, 2024, 'Rust-twins: Automatic Rust Compiler Testing through Program Mutation and Dual Macros Generation', in Proceedings 2024 39th ACM IEEE International Conference on Automated Software Engineering Ase 2024, pp. 631 - 642, http://dx.doi.org/10.1145/3691620.3695059
    Conference Papers | 2024
    Yu J; Xie X; Zhang C; Chen S; Li Y; Shen W, 2024, 'Bugs in Pods: Understanding Bugs in Container Runtime Systems', in Issta 2024 Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 1364 - 1376, http://dx.doi.org/10.1145/3650212.3680366
    Conference Papers | 2024
    Zhang C; Zheng Y; Bai M; Li Y; Ma W; Xie X; Li Y; Sun L; Liu Y, 2024, 'How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation', in Issta 2024 Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 1223 - 1235, http://dx.doi.org/10.1145/3650212.3680355
    Preprints | 2024
    Zhang C; Zheng Y; Bai M; Li Y; Ma W; Xie X; Li Y; Sun L; Liu Y, 2024, How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation, http://dx.doi.org/10.48550/arxiv.2307.12469
    Preprints | 2024
    Zhang X; Zhang C; Li X; Du Z; Mao B; Li Y; Zheng Y; Li Y; Pan L; Liu Y; Deng RH, 2024, A Survey of Protocol Fuzzing, http://dx.doi.org/10.48550/arxiv.2401.01568
    Conference Papers | 2024
    Zhao J; Li Y; Zou Y; Liang Z; Xiao Y; Li Y; Peng B; Zhong N; Wang X; Wang W; Huo W, 2024, 'Leveraging Semantic Relations in Code and Data to Enhance Taint Analysis of Embedded Systems', in Proceedings of the 33rd Usenix Security Symposium, pp. 7067 - 7084
    Preprints | 2023
    Deng G; Liu Y; Li Y; Wang K; Zhang Y; Li Z; Wang H; Zhang T; Liu Y, 2023, MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots, http://dx.doi.org/10.48550/arxiv.2307.08715
    Conference Papers | 2023
    Deng G; Zhang Z; Li Y; Liu Y; Zhang T; Liu Y; Yu G; Wang D, 2023, 'NAUTILUS: Automated RESTful API Vulnerability Detection', in 32nd Usenix Security Symposium Usenix Security 2023, pp. 5593 - 5610
    Conference Papers | 2023
    Du Z; Li Y, 2023, 'HasteFuzz: Full-Speed Fuzzing', in Proceedings 2023 IEEE ACM International Workshop on Search Based and Fuzz Testing Sbft 2023, pp. 73 - 75, http://dx.doi.org/10.1109/SBFT59156.2023.00022
    Conference Papers | 2023
    Ge J; Li Y; Liu Y; Zheng Y; Liu Y; Zhao L, 2023, 'PumpChannel: An Efficient and Secure Communication Channel for Trusted Execution Environment on ARM-FPGA Embedded SoC', in Proceedings Design Automation and Test in Europe Date, http://dx.doi.org/10.23919/DATE56975.2023.10137170
    Conference Papers | 2023
    Liu Y; Li Y; Deng G; Juefei-Xu F; Du Y; Zhang C; Liu C; Li Y; Ma L; Liu Y, 2023, 'ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers', in Proceedings 2023 38th IEEE ACM International Conference on Automated Software Engineering Ase 2023, pp. 510 - 521, http://dx.doi.org/10.1109/ASE56229.2023.00107
    Preprints | 2023
    Liu Y; Li Y; Deng G; Juefei-Xu F; Du Y; Zhang C; Liu C; Li Y; Ma L; Liu Y, 2023, ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers, http://dx.doi.org/10.48550/arxiv.2308.15742
    Conference Papers | 2023
    Sapin E; Menon S; Ge J; Habib SM; Heymann M; Li Y; Palige R; Byman G; Liu Y, 2023, 'Monitoring Automotive Software Security Health through Trustworthiness Score', in Proceedings Cscs 2023 7th ACM Computer Science in Cars Symposium, http://dx.doi.org/10.1145/3631204.3631859
    Conference Papers | 2023
    Shi J; Xiao Y; Li Y; Li Y; Yu D; Yu C; Su H; Chen Y; Huo W, 2023, 'ACETest: Automated Constraint Extraction for Testing Deep Learning Operators', in Issta 2023 Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 690 - 702, http://dx.doi.org/10.1145/3597926.3598088
    Preprints | 2023
    Shi J; Xiao Y; Li Y; Li Y; Yu D; Yu C; Su H; Chen Y; Huo W, 2023, ACETest: Automated Constraint Extraction for Testing Deep Learning Operators, http://dx.doi.org/10.48550/arxiv.2305.17914
    Preprints | 2023
    Sun W; Fang C; You Y; Miao Y; Liu Y; Li Y; Deng G; Huang S; Chen Y; Zhang Q; Qian H; Liu Y; Chen Z, 2023, Automatic Code Summarization via ChatGPT: How Far Are We?, http://dx.doi.org/10.48550/arxiv.2305.12865
    Conference Papers | 2023
    Yin J; Li M; Li Y; Yu Y; Lin B; Zou Y; Liu Y; Huo W; Xue J, 2023, 'RSFuzzer: Discovering Deep SMI Handler Vulnerabilities in UEFI Firmware with Hybrid Fuzzing', in Proceedings IEEE Symposium on Security and Privacy, pp. 2155 - 2169, http://dx.doi.org/10.1109/SP46215.2023.10179421
    Conference Papers | 2022
    Du Z; Li Y; Liu Y; Mao B, 2022, 'Windranger: A Directed Greybox Fuzzer driven by Deviation Basic Blocks', in Proceedings International Conference on Software Engineering, pp. 2440 - 2451, http://dx.doi.org/10.1145/3510003.3510197
    Conference Papers | 2022
    Ge J; Li Y; Zheng Y; Liu Y; Habib SM, 2022, 'More Secure Collaborative APIs resistant to Flush-Based Cache Attacks on Cortex-A9 Based Automotive System', in Proceedings Cscs 2022 6th ACM Computer Science in Cars Symposium, http://dx.doi.org/10.1145/3568160.3570227
    Conference Papers | 2022
    Li Y; Sun Y; Xu Z; Cao J; Li Y; Li R; Chen H; Cheung SC; Liu Y; Xiao Y, 2022, 'RegexScalpel: Regular Expression Denial of Service (ReDoS) Defense by Localize-and-Fix', in Proceedings of the 31st Usenix Security Symposium Security 2022, pp. 4183 - 4200
    Conference Papers | 2022
    Liu Y; Li Y; Deng G; Liu Y; Wan R; Wu R; Ji D; Xu S; Bao M, 2022, 'Morest: Model-based RESTful API Testing with Execution Feedback', in Proceedings International Conference on Software Engineering, pp. 1406 - 1417, http://dx.doi.org/10.1145/3510003.3510133
    Preprints | 2022
    Liu Y; Li Y; Deng G; Liu Y; Wan R; Wu R; Ji D; Xu S; Bao M, 2022, Morest: Model-based RESTful API Testing with Execution Feedback, http://dx.doi.org/10.48550/arxiv.2204.12148
    Conference Papers | 2022
    Liu Y; Li Y; Liu Y; Wan R; Wu R; Liu Q, 2022, 'Morest: Industry Practice of Automatic RESTful API Testing', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3551349.3559498
    Conference Papers | 2022
    Zheng Y; Li Y; Zhang C; Zhu H; Liu Y; Sun L, 2022, 'Efficient greybox fuzzing of applications in Linux-based IoT devices via enhanced user-mode emulation', in Issta 2022 Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 417 - 428, http://dx.doi.org/10.1145/3533767.3534414
    Conference Papers | 2021
    He X; Xie X; Li Y; Sun J; Li F; Zou W; Liu Y; Yu L; Zhou J; Shi W; Huo W, 2021, 'SoFi: Reflection-Augmented Fuzzing for JavaScript Engines', in Proceedings of the ACM Conference on Computer and Communications Security, pp. 2229 - 2242, http://dx.doi.org/10.1145/3460120.3484823
    Conference Papers | 2021
    Li S; Lin Y; Xie X; Li Y; Li X; Ge W; Liu Y; Dong J, 2021, 'A First Look at the Effect of Deep Learning in Coverage-guided Fuzzing', in Proceedings 2021 36th IEEE ACM International Conference on Automated Software Engineering Ase 2021, pp. 1186 - 1189, http://dx.doi.org/10.1109/ASE51524.2021.9678794
    Conference Papers | 2021
    Li Y; Meng G; Xu J; Zhang C; Chen H; Xie X; Wang H; Liu Y, 2021, 'Vall-nut: Principled Anti-Grey box - Fuzzing', in Proceedings International Symposium on Software Reliability Engineering ISSRE, pp. 288 - 299, http://dx.doi.org/10.1109/ISSRE52982.2021.00039
    Conference Papers | 2021
    Tian Z; Li Y, 2021, 'AutoCom: Automatic comment generation for C code', in Proceedings of the International Conference on Software Engineering and Knowledge Engineering Seke, pp. 632 - 633, http://dx.doi.org/10.18293/SEKE2021-202
    Conference Papers | 2021
    Zhang C; Li Y; Chen H; Luo X; Li M; Nguyen AQ; Liu Y, 2021, 'BIFF: Practical Binary Fuzzing Framework for Programs of IoT and Mobile Devices', in Proceedings 2021 36th IEEE ACM International Conference on Automated Software Engineering Ase 2021, pp. 1161 - 1165, http://dx.doi.org/10.1109/ASE51524.2021.9678910
    Conference Papers | 2021
    Zhang C; Lin X; Li Y; Xue Y; Xie J; Chen H; Ying X; Wang J; Liu Y, 2021, 'APICRAFT: Fuzz driver generation for closed-source SDK libraries', in Proceedings of the 30th Usenix Security Symposium, pp. 2811 - 2828
    Conference Papers | 2020
    Chen H; Guo S; Xue Y; Sui Y; Zhang C; Li Y; Wang H; Liu Y, 2020, 'MUZZ: Thread-aware grey-box fuzzing for effective bug hunting in multithreaded programs', in Proceedings of the 29th Usenix Security Symposium, pp. 2325 - 2342
    Preprints | 2020
    Chen H; Guo S; Xue Y; Sui Y; Zhang C; Li Y; Wang H; Liu Y, 2020, MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs, http://dx.doi.org/10.48550/arxiv.2007.15943
    Preprints | 2020
    Du X; Chen B; Li Y; Guo J; Zhou Y; Liu Y; Jiang Y, 2020, LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics, http://dx.doi.org/10.48550/arxiv.1901.11479
    Preprints | 2020
    Geng S; Li Y; Du Y; Xu J; Liu Y; Mao B, 2020, An Empirical Study on Benchmarks of Artificial Software Vulnerabilities, http://dx.doi.org/10.48550/arxiv.2003.09561
    Conference Papers | 2020
    Li Y; Chen H; Zhang C; Xiong S; Liu C; Wang Y, 2020, 'Ori: A greybox fuzzer for SOME/IP protocols in automotive ethernet', in Proceedings Asia Pacific Software Engineering Conference APSEC, pp. 495 - 499, http://dx.doi.org/10.1109/APSEC51365.2020.00063
    Conference Papers | 2020
    Wang H; Xie X; Li Y; Wen C; Li Y; Liu Y; Qin S; Chen H; Sui Y, 2020, 'Typestate-guided fuzzer for discovering use-after-free vulnerabilities', in Proceedings International Conference on Software Engineering, pp. 999 - 1010, http://dx.doi.org/10.1145/3377811.3380386
    Conference Papers | 2020
    Wen C; Wang H; Li Y; Qin S; Liu Y; Xu Z; Chen H; Xie X; Pu G; Liu T, 2020, 'Memlock: Memory usage guided fuzzing', in Proceedings International Conference on Software Engineering, pp. 765 - 777, http://dx.doi.org/10.1145/3377811.3380396
    Conference Papers | 2019
    Du X; Chen B; Li Y; Guo J; Zhou Y; Liu Y; Jiang Y, 2019, 'LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment Through Program Metrics', in Proceedings International Conference on Software Engineering, pp. 60 - 71, http://dx.doi.org/10.1109/ICSE.2019.00024
    Conference Papers | 2019
    Li Y; Xue Y; Chen H; Wu X; Zhang C; Xie X; Wang H; Liu Y, 2019, 'Cerebro: Context-aware adaptive fuzzing for effective vulnerability detection', in Esec Fse 2019 Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 533 - 544, http://dx.doi.org/10.1145/3338906.3338975
    Conference Papers | 2019
    Wang H; Xie X; Lin SW; Lin Y; Li Y; Qin S; Liu Y; Liu T, 2019, 'Locating vulnerabilities in binaries via memory layout recovering', in Esec Fse 2019 Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 718 - 728, http://dx.doi.org/10.1145/3338906.3338966
    Conference Papers | 2019
    Xie X; Ma L; Wang H; Li Y; Liu Y; Li X, 2019, 'DiffChaser: Detecting Disagreements for Deep Neural Networks', in Kraus S (ed.), PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI-INT JOINT CONF ARTIF INTELL, PEOPLES R CHINA, Macao, pp. 5772 - 5778, presented at 28th International Joint Conference on Artificial Intelligence, PEOPLES R CHINA, Macao, 10 August 2019 - 16 August 2019
    Conference Papers | 2019
    Xie X; Ma L; Wang H; Li Y; Liu Y; Li X, 2019, 'Diffchaser: Detecting disagreements for deep neural networks', in Ijcai International Joint Conference on Artificial Intelligence, pp. 5772 - 5778, http://dx.doi.org/10.24963/ijcai.2019/800
    Conference Papers | 2018
    Chen H; Chen B; Xue Y; Xie X; Liu Y; Li Y; Wu X, 2018, 'Hawkeye: Towards a desired directed grey-box fuzzer', in Proceedings of the ACM Conference on Computer and Communications Security, pp. 2095 - 2108, http://dx.doi.org/10.1145/3243734.3243849
    Conference Papers | 2018
    Chen H; Li Y; Chen B; Xue Y; Liu Y, 2018, 'FOT: A versatile, configurable, extensible fuzzing framework', in Esec Fse 2018 Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 867 - 870, http://dx.doi.org/10.1145/3236024.3264593
    Conference Papers | 2018
    Li Y, 2018, 'Principled greybox fuzzing', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 455 - 458, http://dx.doi.org/10.1007/978-3-030-02450-5_34
    Conference Papers | 2017
    Li Y; Chen B; Chandramohan M; Lin SW; Liu Y; Tiu A, 2017, 'Steelix: Program-state based binary fuzzing', in Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering, pp. 627 - 637, http://dx.doi.org/10.1145/3106237.3106295
    Preprints |
    Lin X; Deng G; Li Y; Ge J; Ho JWK; Liu Y, GeneRAG: Enhancing Large Language Models with Gene-Related Task by Retrieval-Augmented Generation, http://dx.doi.org/10.1101/2024.06.24.600176

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