Structure-Aware Distributed Backdoor Attacks in Federated Learning

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Mitigating bias in heterogeneous federated learning via stratified client selection
2025Yazhi Liu, Haonan Xia et al.
[2]
DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning
2024Kichang Lee, Yujin Shin et al.
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Contribution prediction in federated learning via client behavior evaluation
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A Closer Look at Robustness of Vision Transformers to Backdoor Attacks
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Recent Advances on Federated Learning: A Systematic Survey
2023Bingyan Liu, Nuoyan Lv et al.
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A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning
2022Zhiyi Tian, Lei Cui et al.
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Spectral Signatures in Backdoor Attacks
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"Explore structure-aware defenses against backdoor attacks in federated learning."

Federated Learning SecurityScore: 2View PDF ↗

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