共 50 条
- [41] DEFEAT: A decentralized federated learning against gradient attacks HIGH-CONFIDENCE COMPUTING, 2023, 3 (03):
- [42] A Selective Defense Strategy for Federated Learning Against Attacks Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2024, 46 (03): : 1119 - 1127
- [43] Defending non-Bayesian learning against adversarial attacks Distributed Computing, 2019, 32 : 277 - 289
- [45] FLSAD: Defending Backdoor Attacks in Federated Learning via Self-Attention Distillation SYMMETRY-BASEL, 2024, 16 (11):
- [47] Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2023, 147 : 136 - 148
- [50] Practical and General Backdoor Attacks Against Vertical Federated Learning MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT II, 2023, 14170 : 402 - 417