| Optimal and Private Learning from Human Response Data | Mar 10, 2023 | Privacy PreservingRecommendation Systems | —Unverified | 0 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 |
| Complement Sparsification: Low-Overhead Model Pruning for Federated Learning | Mar 10, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning | Mar 9, 2023 | Privacy PreservingPrivacy Preserving Deep Learning | —Unverified | 0 |
| FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning | Mar 9, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles | Mar 8, 2023 | Active LearningAutonomous Vehicles | —Unverified | 0 |
| A Privacy Preserving System for Movie Recommendations Using Federated Learning | Mar 7, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning | Mar 7, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Privacy-Preserving Fair Item Ranking | Mar 6, 2023 | FairnessPrivacy Preserving | —Unverified | 0 |
| Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting | Mar 6, 2023 | Privacy Preserving | —Unverified | 0 |
