| FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients | Jul 19, 2022 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| Ditto: Fair and Robust Federated Learning Through Personalization | Dec 8, 2020 | FairnessFederated Learning | 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 |
| Anticipatory Thinking Challenges in Open Worlds: Risk Management | Jun 22, 2023 | Adversarial RobustnessAutonomous Vehicles | —Unverified | 0 |
