3 papers
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…
cs.LG2024
Trojan Cleansing with Neural Collapse
Xihe Gu, Greg Fields, Yaman Jandali +2
Trojan attacks are sophisticated training-time attacks on neural networks that embed backdoor triggers which force the network to produce a specific output on any input which inclu…