| Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach | Mar 15, 2022 | Privacy PreservingPrivacy Preserving Deep Learning | —Unverified | 0 |
| Communication-Efficient Federated Distillation with Active Data Sampling | Mar 14, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation | Mar 12, 2022 | Federated LearningHyperparameter Optimization | —Unverified | 0 |
| FedSyn: Synthetic Data Generation using Federated Learning | Mar 11, 2022 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| No Free Lunch Theorem for Security and Utility in Federated Learning | Mar 11, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Federated Remote Physiological Measurement with Imperfect Data | Mar 11, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Similarity-based Label Inference Attack against Training and Inference of Split Learning | Mar 10, 2022 | ClusteringInference Attack | —Unverified | 0 |
| Conditional Synthetic Data Generation for Personal Thermal Comfort Models | Mar 10, 2022 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes | Mar 5, 2022 | AttributeEmotion Recognition | CodeCode Available | 0 |
| Faking feature importance: A cautionary tale on the use of differentially-private synthetic data | Mar 2, 2022 | Feature ImportancePrivacy Preserving | —Unverified | 0 |
