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20232025
most citedSecurely Fine-tuning Pre-trained Encoders Against Adversarial Examples

2 citations · 3 across the 7 of their papers we have counts for

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cs.LG2023

MISA: Unveiling the Vulnerabilities in Split Federated Learning

Wei Wan, Yuxuan Ning, Shengshan Hu +4

\textit{Federated learning} (FL) and \textit{split learning} (SL) are prevailing distributed paradigms in recent years. They both enable shared global model training while keeping…