| Adversarial Learning of Privacy-Preserving and Task-Oriented Representations | Nov 22, 2019 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Differentially Private Learning with Per-Sample Adaptive Clipping | Dec 1, 2022 | Privacy Preserving | —Unverified | 0 | 0 |
| Differentially Private Language Models Benefit from Public Pre-training | Sep 13, 2020 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| Benchmarking Federated Machine Unlearning methods for Tabular Data | Apr 1, 2025 | BenchmarkingComputational Efficiency | —Unverified | 0 | 0 |
| Differentially private k-means clustering via exponential mechanism and max cover | Sep 2, 2020 | ClusteringPrivacy Preserving | —Unverified | 0 | 0 |
| BCGS: Blockchain-assisted privacy-preserving cross-domain authentication for VANETs | Mar 15, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| Differentially Private Iterative Screening Rules for Linear Regression | Feb 25, 2025 | Privacy Preservingregression | —Unverified | 0 | 0 |
| Privacy-Preserving In-Context Learning for Large Language Models | May 2, 2023 | In-Context LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Bayesian Prior Learning via Neural Networks for Next-item Recommendation | May 10, 2022 | Privacy PreservingRecommendation Systems | —Unverified | 0 | 0 |
| An Investigation towards Differentially Private Sequence Tagging in a Federated Framework | Jun 1, 2021 | Federated Learningnamed-entity-recognition | —Unverified | 0 | 0 |