| FedDefender: Client-Side Attack-Tolerant Federated Learning | Jul 18, 2023 | Federated LearningKnowledge Distillation | CodeCode Available | 1 | 5 |
| FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective | Oct 26, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 | 5 |
| Analyzing Federated Learning through an Adversarial Lens | Nov 29, 2018 | Federated LearningModel Poisoning | CodeCode Available | 1 | 5 |
| Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning | Aug 23, 2021 | Federated LearningMisconceptions | CodeCode Available | 1 | 5 |
| Leverage Variational Graph Representation For Model Poisoning on Federated Learning | Apr 23, 2024 | Federated LearningModel Poisoning | CodeCode Available | 0 | 5 |
| Mitigating Sybils in Federated Learning Poisoning | Aug 14, 2018 | DiversityFederated Learning | CodeCode Available | 0 | 5 |
| A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder | Jun 2, 2024 | Federated LearningModel Poisoning | CodeCode Available | 0 | 5 |
| Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning | Feb 8, 2025 | Anomaly DetectionFederated Learning | CodeCode Available | 0 | 5 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning | Jun 20, 2024 | Federated LearningModel Poisoning | CodeCode Available | 0 | 5 |
