AIDFL: An Information-Driven Anomaly Detector for Data Poisoning in Decentralized Federated Learning by Xiao Chen, Chao Feng, Shaohua Wang

Subjects: “…Data poisoning attacks…”
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EarlyExodus: Leveraging early exits to mitigate backdoor vulnerability in deep learning by Salmane Douch, M. Riduan Abid, Khalid Zine-Dine, Driss Bouzidi, Fatima Ezzahra El Aidos, Driss Benhaddou

Subjects: “…Data poisoning attacks…”
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Mitigating Impact of Data Poisoning Attacks on CPS Anomaly Detection with Provable Guarantees by Sahar Abedzadeh, Shameek Bhattacharjee

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DRLAttack: A Deep Reinforcement Learning-Based Framework for Data Poisoning Attack on Collaborative Filtering Algorithms by Jiaxin Fan, Mohan Li, Yanbin Sun, Peng Chen

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Enhanced Blockchain-Based Data Poisoning Defense Mechanism by Song-Kyoo Kim

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