| Towards the Anonymization of the Language Modeling | Jan 5, 2025 | Causal Language ModelingLanguage Modeling | —Unverified | 0 |
| Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants | Feb 28, 2025 | Privacy Preservingregression | —Unverified | 0 |
| Differentially Private Reinforcement Learning with Linear Function Approximation | Jan 18, 2022 | Privacy Preservingreinforcement-learning | —Unverified | 0 |
| Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study | Sep 30, 2023 | Privacy Preserving | —Unverified | 0 |
| Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications | Oct 12, 2020 | Federated LearningFraud Detection | —Unverified | 0 |
| Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation | May 20, 2025 | Privacy PreservingRAG | —Unverified | 0 |
| Differentially Private Stochastic Gradient Descent with Low-Noise | Sep 9, 2022 | Privacy Preserving | —Unverified | 0 |
| Differentially Private Submodular Maximization: Data Summarization in Disguise | Aug 1, 2017 | Data SummarizationPrivacy Preserving | —Unverified | 0 |
| A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model | May 7, 2024 | Privacy Preserving | —Unverified | 0 |
| Defending against Reconstruction Attack in Vertical Federated Learning | Jul 21, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 |
