Paper “See No Evil: Adversarial Attacks Against Linguistic-Visual Association in Referring Multi-Object Tracking Systems” accepted to the Reliable ML from Unreliable Data workshop @ NeurIPS 2025; Serving on the Program Committee for ACM Conference on Computer and Communications Security (CCS 2026); Serving on the Program Committee for the International Conference on Learning Representations (ICLR 2026); Received WiML 2025 travel funding to present research at WiML workshop @ NeurIPS.
Research Experience
Postdoctoral Scholar at the Embedded & Cyber-Physical Systems (AICPS) Lab at UCI; Previously a Research Fellow in Trustworthy AI at Queen’s University of Belfast, UK.
Background
Research Interests: Passionate about developing secure, efficient, and aligned AI systems that are both powerful and safe for real-world deployment. Specializes in Secure and Trustworthy AI, AI Safety, Adversarial Machine Learning, and Edge AI deployment.
Miscellany
Personal website includes links to GitHub, Google Scholar, X (Twitter), LinkedIn, and CV download option.