86 citations · 255 across the 20 of their papers we have counts for
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cs.LG2023★ 12 cited
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
Zhaohan Xi, Tianyu Du, Changjiang Li +5
Pre-trained language models (PLMs) have demonstrated remarkable performance as few-shot learners. However, their security risks under such settings are largely unexplored. In this…
cs.LG2023★ 1 cited
On the Vulnerability of Backdoor Defenses for Federated Learning
Pei Fang, Jinghui Chen
Federated Learning (FL) is a popular distributed machine learning paradigm that enables jointly training a global model without sharing clients' data. However, its repetitive serve…