| Differentially Private Federated Learning without Noise Addition: When is it Possible? | May 6, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Differentially Private GANs for Generating Synthetic Indoor Location Data | Apr 10, 2024 | Indoor LocalizationPrivacy Preserving | —Unverified | 0 |
| Privacy-Preserving In-Context Learning for Large Language Models | May 2, 2023 | In-Context LearningPrivacy Preserving | —Unverified | 0 |
| Differentially Private Multi-Agent Planning for Logistic-like Problems | Aug 16, 2020 | Privacy Preserving | —Unverified | 0 |
| AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator | Jun 21, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| An Attribute-Aligned Strategy for Learning Speech Representation | Jun 5, 2021 | AttributeEmotion Recognition | —Unverified | 0 |
| Differentially-Private "Draw and Discard" Machine Learning | Jul 11, 2018 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| A Unified View of Differentially Private Deep Generative Modeling | Sep 27, 2023 | Privacy Preserving | —Unverified | 0 |
| A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning | Jul 5, 2024 | Federated LearningNavigate | —Unverified | 0 |
| An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs | May 23, 2025 | Privacy Preserving | —Unverified | 0 |
