| CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications | Feb 1, 2023 | Data PoisoningDecoder | —Unverified | 0 |
| How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? | Jan 21, 2023 | Federated LearningModel Poisoning | —Unverified | 0 |
| FedCC: Robust Federated Learning against Model Poisoning Attacks | Dec 5, 2022 | Federated Learningmodel | —Unverified | 0 |
| Security Analysis of SplitFed Learning | Dec 4, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks | Nov 21, 2022 | Federated LearningGenerative Adversarial Network | —Unverified | 0 |
| Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks | Nov 7, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks | Oct 25, 2022 | Model PoisoningSelf-Learning | —Unverified | 0 |
| Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning | Oct 17, 2022 | Federated Learningimage-classification | CodeCode Available | 0 |
| FedPerm: Private and Robust Federated Learning by Parameter Permutation | Aug 16, 2022 | Federated LearningInformation Retrieval | —Unverified | 0 |
| Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications | Jul 18, 2022 | Activity RecognitionAnomaly Detection | —Unverified | 0 |
