| Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation | Mar 3, 2023 | Privacy Preserving | —Unverified | 0 |
| Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees | Sep 27, 2024 | Privacy PreservingSynthetic Data Generation | —Unverified | 0 |
| DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning | Aug 1, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation | Mar 25, 2021 | Anomaly DetectionDensity Estimation | —Unverified | 0 |
| Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity | Jul 1, 2022 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks | Sep 1, 2015 | Privacy PreservingRecommendation Systems | —Unverified | 0 |
| A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures | Oct 12, 2020 | Privacy PreservingQuery-focused Summarization | —Unverified | 0 |
| Distributed Private Online Learning for Social Big Data Computing over Data Center Networks | Feb 21, 2016 | Cloud ComputingPrivacy Preserving | —Unverified | 0 |
| Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning | Dec 3, 2018 | Edge-computingFederated Learning | —Unverified | 0 |
| Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching | Nov 5, 2023 | Graph MatchingPrivacy Preserving | —Unverified | 0 |
| 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 |
| Defense Against Gradient Leakage Attacks via Learning to Obscure Data | Jun 1, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Defending Label Inference Attacks in Split Learning under Regression Setting | Aug 18, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Differentially Private Training of Mixture of Experts Models | Feb 11, 2024 | Computational EfficiencyMixture-of-Experts | —Unverified | 0 |
| Differentially Private Variational Dropout | Nov 30, 2017 | Privacy Preserving | —Unverified | 0 |
| A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model | May 7, 2024 | Privacy Preserving | —Unverified | 0 |
| Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey | Feb 16, 2022 | FairnessPrivacy Preserving | —Unverified | 0 |
| Defending against Reconstruction Attack in Vertical Federated Learning | Jul 21, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 |