| 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 |
| Performance Weighting for Robust Federated Learning Against Corrupted Sources | May 2, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling | Apr 29, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy | Apr 22, 2022 | Data PoisoningFederated Learning | —Unverified | 0 |
| Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis | Mar 22, 2022 | Backdoor AttackFederated Learning | CodeCode Available | 0 |
| Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing | Mar 18, 2022 | Deep Reinforcement LearningEdge-computing | —Unverified | 0 |
| MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients | Mar 16, 2022 | Federated LearningModel Poisoning | CodeCode Available | 0 |
| Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors | Jan 31, 2022 | Anomaly DetectionBinary Classification | —Unverified | 0 |
| Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness | Jan 5, 2022 | Data PoisoningFederated Learning | CodeCode Available | 0 |
| SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification | Dec 12, 2021 | Federated LearningModel Poisoning | CodeCode Available | 0 |
| FedRAD: Federated Robust Adaptive Distillation | Dec 2, 2021 | Federated LearningKnowledge Distillation | —Unverified | 0 |
| PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy | Oct 22, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion | Oct 21, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks | Oct 19, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| On the Security Risks of AutoML | Oct 12, 2021 | AutoMLModel Poisoning | CodeCode Available | 0 |
| A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples | Sep 3, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| Turning Federated Learning Systems Into Covert Channels | Apr 21, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning | Apr 16, 2021 | Data PoisoningFederated Learning | —Unverified | 0 |
| SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation | Feb 4, 2021 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization | Jan 28, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation | Jan 24, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
