| SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning | Feb 6, 2025 | BenchmarkingData Poisoning | CodeCode Available | 2 |
| FedDefender: Client-Side Attack-Tolerant Federated Learning | Jul 18, 2023 | Federated LearningKnowledge Distillation | CodeCode Available | 1 |
| Ditto: Fair and Robust Federated Learning Through Personalization | Dec 8, 2020 | FairnessFederated Learning | CodeCode Available | 1 |
| Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering | Sep 13, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning | Feb 6, 2022 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 1 |
| ARFED: Attack-Resistant Federated averaging based on outlier elimination | Nov 8, 2021 | Data PoisoningFederated Learning | CodeCode Available | 1 |
| FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective | Oct 26, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients | Jul 19, 2022 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| How To Backdoor Federated Learning | Jul 2, 2018 | Anomaly DetectionData Poisoning | CodeCode Available | 1 |
| Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning | Apr 25, 2023 | Contrastive LearningFederated Learning | CodeCode Available | 1 |
| Robust Federated Learning with Attack-Adaptive Aggregation | Feb 10, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| FedRecAttack: Model Poisoning Attack to Federated Recommendation | Apr 1, 2022 | Federated Learningmodel | CodeCode Available | 1 |
| Analyzing Federated Learning through an Adversarial Lens | Nov 29, 2018 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning | Aug 23, 2021 | Federated LearningMisconceptions | CodeCode Available | 1 |
| Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling | Apr 29, 2022 | Federated LearningModel Poisoning | —Unverified | 0 |
| A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples | Sep 3, 2021 | 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 |
| A First Order Meta Stackelberg Method for Robust Federated Learning | Jun 23, 2023 | Federated LearningMeta-Learning | —Unverified | 0 |
| Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection | Mar 29, 2023 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning | May 10, 2024 | Backdoor AttackData Poisoning | —Unverified | 0 |
| Anticipatory Thinking Challenges in Open Worlds: Risk Management | Jun 22, 2023 | Adversarial RobustnessAutonomous Vehicles | —Unverified | 0 |
| CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications | Feb 1, 2023 | Data PoisoningDecoder | —Unverified | 0 |
| Turning Federated Learning Systems Into Covert Channels | Apr 21, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization | Jan 28, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| Can We Trust the Similarity Measurement in Federated Learning? | Oct 20, 2023 | Federated LearningModel Poisoning | —Unverified | 0 |
