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cs.CR2025
Optimizing Privacy-Preserving Primitives to Support LLM-Scale Applications
Yaman Jandali, Ruisi Zhang, Nojan Sheybani +1
Privacy-preserving technologies have introduced a paradigm shift that allows for realizable secure computing in real-world systems. The significant barrier to the practical adoptio…
cs.CR2025
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models
Soheil Zibakhsh Shabgahi, Yaman Jandali, Farinaz Koushanfar
This paper proposes MergeGuard, a novel methodology for mitigation of AI Trojan attacks. Trojan attacks on AI models cause inputs embedded with triggers to be misclassified to an a…