| Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation | Feb 10, 2022 | Privacy PreservingRecommendation Systems | —Unverified | 0 |
| Differentially Private Language Models Benefit from Public Pre-training | Sep 13, 2020 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Benchmarking Federated Machine Unlearning methods for Tabular Data | Apr 1, 2025 | BenchmarkingComputational Efficiency | —Unverified | 0 |
| Differentially Private Learning with Per-Sample Adaptive Clipping | Dec 1, 2022 | Privacy Preserving | —Unverified | 0 |
| Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases | Jul 30, 2014 | Privacy Preservingregression | —Unverified | 0 |
| Differentially Private Matrix Completion Revisited | Dec 28, 2017 | Collaborative FilteringMatrix Completion | —Unverified | 0 |
| Benchmarking Mutual Information-based Loss Functions in Federated Learning | Apr 16, 2025 | BenchmarkingFairness | —Unverified | 0 |
| Defense Against Gradient Leakage Attacks via Learning to Obscure Data | Jun 1, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Differentially Private M-Estimators | Dec 1, 2011 | Privacy Preserving | —Unverified | 0 |
| Defending Label Inference Attacks in Split Learning under Regression Setting | Aug 18, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
