PhD Student · Computer Science

Muhammad Danish

University of New Mexico. Albuquerque, NM.

I am a PhD student in Computer Science at the University of New Mexico (UNM), where I work with Dr. Afsah Anwar in the Beyond Defense Lab. My research focuses on understanding how practical design and deployment choices affect the security and privacy of real-world systems. My current work examines how model compression techniques influence the security, privacy, and adversarial robustness of machine-learning models. More broadly, my research has investigated security and privacy challenges across the Web, VPN ecosystems, and Internet infrastructure.

Portrait of Muhammad Danish

Farris #2145, UNM Albuquerque, NM – 87131



Sep 11, 2026

Our paper, “Exposing Probe-Resistant VPN via Protocol Coexistence,” has been accepted at IEEE S&P 2027.

Jul 30, 2026

I was named a Distinguished Artifact Evaluator at IEEE S&P 2026 and a Distinguished Artifact Reviewer at PETS 2026.

Jul 18, 2026

Our paper, “The Tragedy of Convenience: Cascading User-Data Leakage from SMS-delivered URLs,” has been accepted at ACM CCS 2026. See you in The Hague!