Published papers in top-tier security conferences (such as Oakland, CCS, Usenix Security, NDSS) and top-tier machine learning conferences (such as ICML, NeurIPS, ACL). Research has been integrated into platforms like Android, Chrome, Firefox, and iOS, and has impacted the security recommendations of standard organizations such as IETF. Awards include Google Research Scholar Award, Okawa Foundation Award, NSF CAREER Award, NSF CRII award, Facebook Research Award, and Amazon AI Faculty Fellowship.
Research Experience
Former Assistant Professor at the University of Virginia; interned at Microsoft Research (with Dr. Cormac Herley and Dr. Stuart Schechter), Facebook (with the Security Infrastructure team), and Samsung Research (with Dr. Peng Ning).
Education
PhD: Carnegie Mellon University, 2017, Advisor: Professor Patrick Tague.
Background
Research Interests: Security, privacy, and safety of modern and emerging systems. Professional Fields: Electrical and Computer Engineering, Computer Science. Brief Introduction: An Associate Professor at the University of California, Los Angeles, focusing on developing novel technologies for the security and privacy of systems.
Miscellany
Personal Interests: Looking for motivated students to join the lab, particularly PhD students in systems security, machine learning security, and applied crypto.