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cs.LG2025
CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning
Anthony DiMaggio, Raghav Sharma, Gururaj Saileshwar
Secure federated learning (FL) preserves data privacy during distributed model training. However, deploying such frameworks across heterogeneous devices results in performance bott…
cs.LG2024
Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models
Tianchen Zhang, Gururaj Saileshwar, David Lie
This paper demonstrates a new side-channel that enables an adversary to extract sensitive information about inference inputs in large language models (LLMs) based on the number of…