Paper “SMaCk: Efficient Instruction Cache Attacks via Self-Modifying Code Conflicts” accepted at ASPLOS '25; AMD acknowledged the attack with a security bulletin (AMD-SB-7024); received a Meta Bounty Award for reporting side-channel vulnerabilities; received a student travel grant from ASPLOS 25; poster “DefWeb: Defending User Privacy against Cache-based Website Fingerprinting Attacks with Intelligent Noise Injection” won the best poster award at Midwest Security Workshop 2024; paper “DefWeb: Defending User Privacy against Cache-based Website Fingerprinting Attacks with Intelligent Noise Injection” accepted at ACSAC 2023; poster on the security of Machine Learning models in collaboration with NSA accepted to the CAE symposium.
Research Experience
Long-term research intern at Seagate Research Group’s Data Trust Team; collaborated with Purdue University on GPU-based side-channel attacks; research intern at PurSec Lab.
Education
Ph.D. (ABD) in Computer Engineering from Iowa State University, advised by Dr. Berk Gulmezoglu.
Background
Research interests include hardware security, microarchitectural side channel attacks and AI-driven mitigations, cryptographic systems (including fully homomorphic encryption FHE), and machine learning security. Currently a Ph.D. candidate (ABD) in Computer Engineering at Iowa State University, and a long-term research intern at Seagate Research Group’s Data Trust Team.
Miscellany
Quote: If you do what you love, you'll never work a day in your life.