| 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 |
| Can We Trust the Similarity Measurement in Federated Learning? | Oct 20, 2023 | Federated LearningModel Poisoning | —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 |
| DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks | Aug 14, 2023 | Federated LearningMedical Image Analysis | —Unverified | 0 |
| SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection | Aug 4, 2023 | Federated Learningimage-classification | —Unverified | 0 |
| FedDefender: Client-Side Attack-Tolerant Federated Learning | Jul 18, 2023 | Federated LearningKnowledge Distillation | CodeCode Available | 1 |
| An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems | Jul 4, 2023 | Federated LearningLearning-To-Rank | —Unverified | 0 |
| A First Order Meta Stackelberg Method for Robust Federated Learning | Jun 23, 2023 | Federated LearningMeta-Learning | —Unverified | 0 |
| Anticipatory Thinking Challenges in Open Worlds: Risk Management | Jun 22, 2023 | Adversarial RobustnessAutonomous Vehicles | —Unverified | 0 |
| Mitigating Evasion Attacks in Federated Learning-Based Signal Classifiers | Jun 8, 2023 | Adversarial AttackFederated Learning | —Unverified | 0 |
