byzantine attack

Bant: Byzantine Antidote via Trial Function and Trust Scores AAAI 2026 Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026 High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025 FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025 Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data JMLR 2025 BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks IJCAI 2024 Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning ICML 2024 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 zPROBE: Zero Peek Robustness Checks for Federated Learning ICCV 2023 An Equivalence Between Data Poisoning and Byzantine Gradient Attacks ICML 2022 Byzantine Spectral Ranking NeurIPS 2022 FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022 FLVoogd: Robust And Privacy Preserving Federated Learning ACML 2022 Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection IJCAI 2022 Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NeurIPS 2020 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019