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FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients.

, , , and . KDD, page 2545-2555. ACM, (2022)

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FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients., , , and . KDD, page 2545-2555. ACM, (2022)Backdoor Defense via Deconfounded Representation Learning., , , , and . CVPR, page 12228-12238. IEEE, (2023)Model Inversion Attacks against Graph Neural Networks., , , , , and . CoRR, (2022)FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information., , , and . SP, page 1366-1383. IEEE, (2023)AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking., , , , , , , , , and . NeurIPS, (2023)Backdoor Attacks to Graph Neural Networks., , , and . SACMAT, page 15-26. ACM, (2021)Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation., , , , , , , , , and 7 other author(s). CoRR, (2024)Molecule Generation For Target Protein Binding with Structural Motifs., , , and . ICLR, OpenReview.net, (2023)FLCert: Provably Secure Federated Learning Against Poisoning Attacks., , , and . IEEE Trans. Inf. Forensics Secur., (2022)Motif-based Graph Self-Supervised Learning for Molecular Property Prediction., , , , and . NeurIPS, page 15870-15882. (2021)