| Poster: Sponge ML Model Attacks of Mobile Apps | Mar 1, 2023 | AttributeFederated Learning | —Unverified | 0 |
| PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy | Oct 22, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| RepuNet: A Reputation System for Mitigating Malicious Clients in DFL | Jun 24, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks | Nov 7, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning | Nov 6, 2024 | Federated LearningModel Poisoning | CodeCode Available | 0 |
| Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks | Mar 7, 2023 | Data PoisoningModel Poisoning | CodeCode Available | 0 |
| 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 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | 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 |
