| Defeating Image Obfuscation with Deep Learning | Sep 1, 2016 | Deep LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation | Mar 19, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Defending against Reconstruction Attack in Vertical Federated Learning | Jul 21, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Defending Label Inference Attacks in Split Learning under Regression Setting | Aug 18, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Defense Against Gradient Leakage Attacks via Learning to Obscure Data | Jun 1, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning | Aug 1, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 | 0 |
| Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications | Jan 5, 2021 | Distributed OptimizationPrivacy Preserving | —Unverified | 0 | 0 |
| Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework | Nov 3, 2022 | Drift DetectionPrivacy Preserving | —Unverified | 0 | 0 |
| Demystifying Hyperparameter Optimization in Federated Learning | Sep 29, 2021 | Federated LearningHyperparameter Optimization | —Unverified | 0 | 0 |
