| Bilevel Optimization for Differentially Private Optimization in Energy Systems | Jan 26, 2020 | Bilevel OptimizationPrivacy Preserving | —Unverified | 0 |
| An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation | May 31, 2022 | Active LearningDensity Estimation | —Unverified | 0 |
| Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference | Feb 2, 2024 | Knowledge DistillationPrivacy Preserving | —Unverified | 0 |
| Anonymizing medical case-based explanations through disentanglement | Nov 8, 2023 | counterfactualDecision Making | —Unverified | 0 |
| Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix | Aug 2, 2024 | Privacy Preserving | —Unverified | 0 |
| Mitigating Statistical Bias within Differentially Private Synthetic Data | Aug 24, 2021 | Privacy Preserving | —Unverified | 0 |
| Bias and Variance of Post-processing in Differential Privacy | Oct 9, 2020 | Privacy Preserving | —Unverified | 0 |
| BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models | Jul 1, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse | Oct 29, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Anonymizing Data for Privacy-Preserving Federated Learning | Feb 21, 2020 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |