Fine-grained Distributed Backdoor Attacks in Federated Learning
A fine-grained distributed backdoor attack framework that uses dynamic trigger generation and embedding vector optimization to perform attacks with fewer poisoned samples and introduces an embedding vector contrastive learning strategy that forces poisoned samples to approach the target class center in the feature spac...
Jian Wang, Hong Shen, Wei Ke et al.
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