| 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 |
| ARFED: Attack-Resistant Federated averaging based on outlier elimination | Nov 8, 2021 | Data PoisoningFederated Learning | CodeCode Available | 1 |
| FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective | Oct 26, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy | Oct 22, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion | Oct 21, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks | Oct 19, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| On the Security Risks of AutoML | Oct 12, 2021 | AutoMLModel Poisoning | CodeCode Available | 0 |
| Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering | Sep 13, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples | Sep 3, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
