| A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks | Oct 25, 2022 | Model PoisoningSelf-Learning | —Unverified | 0 | 0 |
| A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples | Sep 3, 2021 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling | Apr 29, 2022 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| BaFFLe: Backdoor detection via Feedback-based Federated Learning | Nov 4, 2020 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| CADeSH: Collaborative Anomaly Detection for Smart Homes | Mar 2, 2023 | Anomaly DetectionIntrusion Detection | —Unverified | 0 | 0 |
| Can We Trust the Similarity Measurement in Federated Learning? | Oct 20, 2023 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications | Feb 1, 2023 | Data PoisoningDecoder | —Unverified | 0 | 0 |
| Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning | May 10, 2024 | Backdoor AttackData Poisoning | —Unverified | 0 | 0 |
| Turning Federated Learning Systems Into Covert Channels | Apr 21, 2021 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
| Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization | Jan 28, 2021 | Federated LearningModel Poisoning | —Unverified | 0 | 0 |
