• I am a software engineer at Google. Prior to that, I earned CS Ph.D. from Georgia Tech, where I designed bottom-up adversarial approaches (in contrast to top-down security policies) to improve the robustness and security of ML/software systems.

• I Published 10+ ML/software security research works at top-tier conferences including IEEE S&P, USENIX SEC, BlackHat USA, etc. Also, I am member of Program Committees at premium AI conferences including NeurIPS and ACM WWW.

Community Services

• ICLR Program Committee, 2025
• ACM WWW Program Committee, 2024, 2025
• NeurIPS Program Committee, 2024
• SIG DIMVA Program Committee, 2023
• USENIX Security External Reviewer, 2021-2023
• Georgia Tech PhD mentor, 2023

Recent News

• Aug 1, 2024. Check out our latest work of context-aware jailbreaking on large language model (LLM). It uncovers 60+ security risks from OpenAI marketplace applications!

• Mar 1, 2024. Our work on defending adversarial learning attacks against bio-authentication systems is accepted to USENIX Security 2024!

• Sep 8, 2023. Gave talks about Software Supply Chain Security at IBM Research, USA and Texas A&M University.

• Jul 10, 2023. One paper accepted to IEEE S&P 2024.

• May 8, 2023. One paper accepted to USENIX Security 2024.

• Apr 23, 2022. One paper accepted to ACM CCS 2022.

Full list