| Artificial Intelligence at the Edge | Dec 10, 2020 | Autonomous VehiclesEdge-computing | —Unverified | 0 |
| Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning | Oct 2, 2023 | Model CompressionPrivacy Preserving | —Unverified | 0 |
| Large-Scale Secure XGB for Vertical Federated Learning | May 18, 2020 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Identifying Backdoor Attacks in Federated Learning via Anomaly Detection | Feb 9, 2022 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning | May 25, 2022 | Privacy PreservingSelf-Supervised Learning | —Unverified | 0 |
| Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling | Jul 24, 2021 | Autonomous DrivingLearning Theory | —Unverified | 0 |
| Bayesian Federated Learning: A Survey | Apr 26, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Bayesian Federated Learning over Wireless Networks | Dec 31, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| A Review on Machine Unlearning | Nov 18, 2024 | Machine UnlearningPrivacy Preserving | —Unverified | 0 |
| Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack | Mar 14, 2024 | Data AugmentationFace Recognition | —Unverified | 0 |
