| Performance Weighting for Robust Federated Learning Against Corrupted Sources | May 2, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling | Apr 29, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy | Apr 22, 2022 | Data PoisoningFederated Learning | —Unverified | 0 |
| Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis | Mar 22, 2022 | Backdoor AttackFederated Learning | CodeCode Available | 0 |
| Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing | Mar 18, 2022 | Deep Reinforcement LearningEdge-computing | —Unverified | 0 |
| MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients | Mar 16, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors | Jan 31, 2022 | Anomaly DetectionBinary Classification | —Unverified | 0 |
| Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness | Jan 5, 2022 | Data PoisoningFederated Learning | CodeCode Available | 0 |
| SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification | Dec 12, 2021 | Federated LearningModel Poisoning | CodeCode Available | 0 |
| FedRAD: Federated Robust Adaptive Distillation | Dec 2, 2021 | Federated LearningKnowledge Distillation | —Unverified | 0 |
