The deadline for submissions to SAGAI'24 (workshop on security of GenAI at IEEE S&P) has been extended to March 1, thanks to flexibility from our publisher for the camera ready. If you missed the original deadline, this is your chance to submit your exciting research results.

I got tenure at Duke. Big thanks to my family, students, collaborators, colleagues, and anonymous letter writers!

Excited to co-author this paper. Comments are very welcome!

A paper (arxiv.org/abs/2310.12815) on formalizing and benchmarking prompt injection attacks and defenses for LLM was accepted by USENIX Security Symposium 2024. We thank the reviewers’ very constructive comments. Very excited about this paper. Congratulations to my coauthors!

Excited about this work on benchmarking robustness of audio watermarking!

The slides for my talk (given at multiple workshops recently) on Safe and Robust Generative AI are available here: people.duke.edu/~zg70/code/Saf… Thanks for the contributions of my students and collaborators (many of them)! Comments are very welcome!

Glad to see prompt injection is among the interesting competitions. One of the most important security/safety challenges for LLM 😄😄please participate!

Excited that our paper on audio watermark benchmarking is accepted to NeurIPS Conference! Congrats to all my amazing collaborators Hongbin, Mo Yang, Zheng Yuan, and Neil Gong. Audio authenticity has become a real issue now and we will keep working on this topic. Stay tuned :)

We OSU Translational Data Analytics Institute and OSU NLP Group are very excited to host Neil Gong Neil Gong tmr (10:30AM-11:30AM ET, Dec 6th) to give an invited talk on Safe and Robust Generative AI. He will cover several critical safety and robustness issues in generative AI, including preventing the generation of

The 8th Deep Learning Security and Privacy workshop co-located with IEEE S&P IEEE S&P May 15, 2025, San Francisco (dlsp2025.ieee-security.org) is calling for papers, posters and talks! The workshop seeks your awesome contributions on all aspects of deep learning and security, aiming

Our paper "DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks" (arxiv.org/abs/2504.11358) received a Distinguished Paper Award at IEEE S&P! Huge thanks and congratulations to my amazing co-authors Yupei Liu, Yuqi Jia, Jinyuan Jia, and Dawn Song!