| Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning | Feb 8, 2025 | Anomaly DetectionFederated Learning | CodeCode Available | 0 |
| On the Security Risks of AutoML | Oct 12, 2021 | AutoMLModel Poisoning | CodeCode Available | 0 |
| A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder | Jun 2, 2024 | Federated LearningModel Poisoning | CodeCode Available | 0 |
| Mitigating Sybils in Federated Learning Poisoning | Aug 14, 2018 | DiversityFederated Learning | CodeCode Available | 0 |
| SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification | Dec 12, 2021 | Federated LearningModel Poisoning | CodeCode Available | 0 |
| Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning | Oct 17, 2022 | Federated Learningimage-classification | CodeCode Available | 0 |
| Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis | Mar 22, 2022 | Backdoor AttackFederated Learning | CodeCode Available | 0 |
| Leverage Variational Graph Representation For Model Poisoning on Federated Learning | Apr 23, 2024 | Federated LearningModel Poisoning | CodeCode Available | 0 |
