Author

Hong Shen

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#machine learning Preprint Sep 2026

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. · 0 citations

#artificial intelligence Nov 2025

Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning

A novel method, namely Fractal-Triggerred Distributed Backdoor Attack (FTDBA), which leverages the self-similarity of fractals to enhance the feature strength of sub-triggers and hence significantly reduce the required poisoning volume for the same attack strength is proposed.

Jian Wang, Hong Shen, Chan-Tong Lam · arXiv.org · 0 citations