| VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning | Jan 8, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense | Aug 5, 2024 | Data PoisoningFederated Learning | —Unverified | 0 |
| GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework | Apr 24, 2025 | Model Poisoning | —Unverified | 0 |
| How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? | Jan 21, 2023 | Federated LearningModel Poisoning | —Unverified | 0 |
| How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution | Nov 16, 2024 | Federated LearningModel Poisoning | —Unverified | 0 |
| HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning | Sep 30, 2024 | Federated LearningKnowledge Distillation | —Unverified | 0 |
| WW-FL: Secure and Private Large-Scale Federated Learning | Feb 20, 2023 | Data PoisoningFederated Learning | —Unverified | 0 |
| Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification | Oct 6, 2023 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing | Mar 18, 2022 | Deep Reinforcement LearningEdge-computing | —Unverified | 0 |
| A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning | May 3, 2023 | Federated LearningModel Poisoning | —Unverified | 0 |
