2 papers
cs.CR2026
Attack Success Rate Is Not a Number: On Measurement Validity in Agentic AI Security Evaluation
Chetan Pathade, Prathamesh Pawar, Shubham Patil
Attack success rate (ASR) is the headline metric in nearly every published evaluation of attacks on, and defenses for, LLM agents. We argue that ASR as currently used is not a sing…
cs.CR2025
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Chetan Pathade, Shubham Patil
Federated Learning (FL) offers a promising framework for collaboratively training machine learning models across decentralized genomic datasets without direct data sharing. While t…