| Confidential Prompting: Protecting User Prompts from Cloud LLM Providers | Sep 27, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| AdaCliP: Adaptive Clipping for Private SGD | Aug 20, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Dirichlet Mechanism for Differentially Private KL Divergence Minimization | Oct 3, 2021 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Privacy-preserving machine learning with tensor networks | Feb 24, 2022 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Disparate Impact on Group Accuracy of Linearization for Private Inference | Feb 6, 2024 | FairnessPrivacy Preserving | CodeCode Available | 0 | 5 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 | 5 |
| Experimenting with Normalization Layers in Federated Learning on non-IID scenarios | Mar 19, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models (Extended Version) | Jul 11, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection | Mar 20, 2025 | Privacy PreservingSelf-Driving Cars | —Unverified | 0 | 0 |
| A Secure and Efficient Distributed Semantic Communication System for Heterogeneous Internet of Things | Jul 19, 2024 | Privacy PreservingSemantic Communication | —Unverified | 0 | 0 |
