Secure Provenance for AI Agents
Securing Provenance in Distributed AI Agent Systems
Securing Provenance in Distributed AI Agent Systems
Successful applicants will receive an annual stipend and a one-off Global Mobility Grant to conduct international engagement activities.
AI agents increasingly use tools, delegate tasks and collaborate across digital platforms. But when something goes wrong, how can we establish what happened, which agents were involved and whether their records can be trusted?
This project will develop secure provenance mechanisms to trace and verify actions and information flows in distributed AI agent systems. The research will investigate how to represent agent activities, protect records against manipulation and false attribution, and verify evidence efficiently across different platforms and trust boundaries. Proposed methods will be evaluated in realistic workflows under operational constraints and adversarial conditions.
The successful candidate will work with researchers at UNSW and the Hong Kong University of Science and Technology, combining expertise in trustworthy AI, cybersecurity and distributed systems. A planned research placement at HKUST will support international collaboration and systems development. The project aims to enable more accountable, secure and reliable AI automation for industry and society.
Eligible applicants must contact the Primary Supervisor, Jiaojiao Jiang - z3531783@ad.unsw.edu.au. If she agrees to supervise you, you will be invited to submit a formal application to UNSW.
Your email should include:
$39,991 per annum (2027 rate) stipend for 3.5 years
$25,000 Global Mobility Grant (one-off)
Dr Jiaojiao Jiang (UNSW, Primary Supervisor)
Dr Hammond Pearce (UNSW, Co-Supervisor)
Professor Kai Chen (Hong Kong University of Science and Technology, Co-Supervisor)
Domestic
Doctor of Philosophy (PhD)
UNSW School | Research area
Faculty of Engineering | School of Computer Science and Engineering
Impact focus area
Pillar 7: Advance economic & social prosperity
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Supervisors
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