| Learning to Detect Malicious Clients for Robust Federated Learning | Feb 1, 2020 | Federated Learningimage-classification | —Unverified | 0 |
| Local Model Poisoning Attacks to Byzantine-Robust Federated Learning | Nov 26, 2019 | BIG-bench Machine LearningData Poisoning | —Unverified | 0 |
| Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures | May 14, 2023 | Collaborative FilteringModel Poisoning | —Unverified | 0 |
| Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning | Jan 14, 2025 | Bayesian OptimisationFederated Learning | —Unverified | 0 |
| Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks | Oct 22, 2024 | Federated LearningMeta-Learning | —Unverified | 0 |
| Mitigating Evasion Attacks in Federated Learning-Based Signal Classifiers | Jun 8, 2023 | Adversarial AttackFederated Learning | —Unverified | 0 |
| Mixed Strategy Game Model Against Data Poisoning Attacks | Jun 7, 2019 | Data PoisoningModel Poisoning | —Unverified | 0 |
| MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients | Mar 16, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for MEC Systems | Sep 12, 2024 | Deep Reinforcement LearningFederated Learning | —Unverified | 0 |
| Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning | Mar 12, 2025 | AllFederated Learning | —Unverified | 0 |
