| Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning | Feb 8, 2025 | Anomaly DetectionFederated Learning | CodeCode Available | 0 |
| DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences | Feb 7, 2025 | Federated Learningmodel | —Unverified | 0 |
| SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning | Feb 6, 2025 | BenchmarkingData Poisoning | CodeCode Available | 2 |
| Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning | Jan 14, 2025 | Bayesian OptimisationFederated Learning | —Unverified | 0 |
| VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning | Jan 8, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning | Dec 10, 2024 | Computational EfficiencyFederated Learning | —Unverified | 0 |
| DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning | Nov 19, 2024 | Adversarial AttackBackdoor Attack | —Unverified | 0 |
| How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution | Nov 16, 2024 | Federated LearningModel Poisoning | —Unverified | 0 |
| FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning | Nov 6, 2024 | Federated LearningModel Poisoning | CodeCode Available | 0 |
| Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks | Oct 22, 2024 | Federated LearningMeta-Learning | —Unverified | 0 |
