This project addresses the growing threat of AI-generated misinformation by combining deep learning-based watermarking with social network analysis and propagation modelling. It shifts the paradigm from reactive detection to proactive protection, enabling early intervention and transparency. The team will develop robust watermarking tools, trace content spread patterns, and build explainable interfaces for journalists, fact-checkers, and policymakers.

Poster

Verified at Birth: Content Verification Layer for Authentic AI Generation