Karthik Pattabiraman

ROAST is a risk-aware selective training framework that improves anomaly detector recall against evasion attacks by focusing training on less vulnerable patients, significantly reducing false negatives.

The paper introduces SAMD, an automated tool that uses STPA-Sec to identify potential false data injection attack scenarios in AI/ML-enabled medical devices during the design phase.

This paper addresses the security vulnerabilities in drone swarm control algorithms by proposing two fuzzing tools, SwarmFuzzGraph and SwarmFuzzBinary, to discover Swarm Propagation Vulnerabilities (SPVs) caused by GPS spoofing attacks.