| Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks | Mar 30, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning | Mar 12, 2025 | AllFederated Learning | —Unverified | 0 |
| Poisoning Bayesian Inference via Data Deletion and Replication | Mar 6, 2025 | Bayesian InferenceModel Poisoning | —Unverified | 0 |
| SLVR: Securely Leveraging Client Validation for Robust Federated Learning | Feb 12, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| 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 |
| 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 |
