| Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey | Dec 14, 2023 | Data PoisoningFederated Learning | —Unverified | 0 | 0 |
| Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning | Apr 21, 2023 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications | Jul 18, 2022 | Activity RecognitionAnomaly Detection | —Unverified | 0 | 0 |
| DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning | Nov 19, 2024 | Adversarial AttackBackdoor Attack | —Unverified | 0 | 0 |
| DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks | Aug 14, 2023 | Federated LearningMedical Image Analysis | —Unverified | 0 | 0 |
| DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences | Feb 7, 2025 | Federated Learningmodel | —Unverified | 0 | 0 |
| Exact Support Recovery in Federated Regression with One-shot Communication | Jun 22, 2020 | Distributed ComputingFederated Learning | —Unverified | 0 | 0 |
| FedCC: Robust Federated Learning against Model Poisoning Attacks | Dec 5, 2022 | Federated Learningmodel | —Unverified | 0 | 0 |
