Agent skills, bundles of instructions and resources that an LLM agent loads on demand, form an emerging supply chain where a single poisoned skill can persistently compromise every agent that installs it. However, existing skill attacks either fire on every request or rely on fine-tuned weights or multiple skills, leav...
FedPurify is a framework that performs post-training data-free purification to remove malicious backdoors while preserving task-relevant knowledge in FL, and combines contrastive feature alignment with knowledge-preserving self-distillation to remove backdoor effects while preserving benign task performance.
Baolu Xue, Hanyuan Zheng, Tian-Xing Man et al.· Proceedings of the 32nd ACM...· 0 citations
Federated Learning (FL) facilitates distributed training while preserving privacy, yet remains highly vulnerable to backdoor attacks. Existing defenses primarily address these threats via robust aggregation, which reduces the influence of malicious contributions (e.g., pruning, reweighting), or through detection-based...
Baolu Xue, Hanyuan Zheng, T. Man et al.· Proceedings of the 32nd ACM...· 0 citations
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