| Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning | May 10, 2024 | Backdoor AttackData Poisoning | —Unverified | 0 | 0 |
| FedRAD: Federated Robust Adaptive Distillation | Dec 2, 2021 | Federated LearningKnowledge Distillation | —Unverified | 0 | 0 |
| FedPerm: Private and Robust Federated Learning by Parameter Permutation | Aug 16, 2022 | Federated LearningInformation Retrieval | —Unverified | 0 | 0 |
| Anticipatory Thinking Challenges in Open Worlds: Risk Management | Jun 22, 2023 | Adversarial RobustnessAutonomous Vehicles | —Unverified | 0 | 0 |
| FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning | Feb 15, 2024 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models | Jun 22, 2025 | Edge-computingFederated Learning | —Unverified | 0 | 0 |
| CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications | Feb 1, 2023 | Data PoisoningDecoder | —Unverified | 0 | 0 |
| Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning (full version) | Nov 17, 2023 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy | Apr 22, 2022 | Data PoisoningFederated Learning | —Unverified | 0 | 0 |
| Can We Trust the Similarity Measurement in Federated Learning? | Oct 20, 2023 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
