| SLVR: Securely Leveraging Client Validation for Robust Federated Learning | Feb 12, 2025 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks | Nov 21, 2022 | Federated LearningGenerative Adversarial Network | —Unverified | 0 | 0 |
| Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors | Jan 31, 2022 | Anomaly DetectionBinary Classification | —Unverified | 0 | 0 |
| Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning | Dec 10, 2024 | Computational EfficiencyFederated Learning | —Unverified | 0 | 0 |
| TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks | Oct 19, 2021 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| Trojan Horse Hunt in Time Series Forecasting for Space Operations | Jun 2, 2025 | Model PoisoningTime Series | —Unverified | 0 | 0 |
| Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks | Mar 30, 2025 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation | Jan 24, 2021 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning | Jan 8, 2025 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense | Aug 5, 2024 | Data PoisoningFederated Learning | —Unverified | 0 | 0 |
