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cs.CR2026
(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…
cs.CR2026
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…