5 papers
(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…
How a Bit Becomes a Story: Semantic Steering via Differentiable Fault Injection
Zafaryab Haider, Md Hafizur Rahman, Shane Moeykens +2
Hard-to-detect hardware bit flips, from either malicious circuitry or bugs, have already been shown to make transformers vulnerable in non-generative tasks. This work, for the firs…
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications
Md Hafizur Rahman, Md Mashfiq Rizvee, Sumaiya Shomaji +1
Artificial intelligence (AI) is widely used in various fields including healthcare, autonomous vehicles, robotics, traffic monitoring, and agriculture. Many modern AI applications…