| Disparate Impact on Group Accuracy of Linearization for Private Inference | Feb 6, 2024 | FairnessPrivacy Preserving | CodeCode Available | 0 | 5 |
| Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization | Dec 1, 2018 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Adversarial Privacy-preserving Filter | Jul 25, 2020 | Adversarial AttackFace Recognition | CodeCode Available | 0 | 5 |
| Differentially Private Releasing via Deep Generative Model (Technical Report) | Jan 5, 2018 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Differential privacy for symmetric log-concave mechanisms | Feb 23, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Sliced Wasserstein Distance | Jul 5, 2021 | Domain AdaptationPrivacy Preserving | CodeCode Available | 0 | 5 |
| Differential Privacy at Risk: Bridging Randomness and Privacy Budget | Mar 2, 2020 | Privacy Preserving | CodeCode Available | 0 | 5 |
| On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning | Aug 28, 2023 | Privacy Preserving | CodeCode Available | 0 | 5 |
| 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 |
