1 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
(A)iSpy: Parasitic Trojans for Machine Learning Infrastructure
Habibur Rahaman, Qipan Xu, Zafaryab Haider +3
Modern machine learning (ML) pipelines depend heavily on third party libraries for graph compilation and hardware acceleration. While current practices audit data and model artifac…
DISARM: Target Electronic Device Informed Mitigation of Software Runtime Side-Channel Vulnerabilities
Tasneem Suha, Tanzim Mahfuz, Rima Asmar Awad +1
Program runtime or timing attacks exploit variations in a program's execution times to extract sensitive information from the program (e.g. encryption keys, sensitive variable data…
HARP: Measuring Harm Amplification in Multi-Agent LLM Systems
Md Hafizur Rahman, Zafaryab Haider, Tanzim Mahfuz +1
Multi-agent LLM systems decompose workflows across agents, tools, shared context, memory, and decision gates. This modularity improves interpretability, but creates a propagation r…