| On Privacy Protection of Latent Dirichlet Allocation Model Training | Jun 4, 2019 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise | Jul 9, 2023 | Privacy Preserving | —Unverified | 0 |
| On the Conflict of Robustness and Learning in Collaborative Machine Learning | Feb 21, 2024 | Privacy Preserving | —Unverified | 0 |
| On the Convergence of Zeroth-Order Federated Tuning for Large Language Models | Feb 8, 2024 | Federated LearningGPU | —Unverified | 0 |
| On the design of stabilizing FIR controllers | Aug 21, 2024 | Privacy Preserving | —Unverified | 0 |
| On the effects of similarity metrics in decentralized deep learning under distributional shift | Sep 16, 2024 | Privacy Preserving | —Unverified | 0 |
| On the Federated Learning Framework for Cooperative Perception | Apr 26, 2024 | Autonomous VehiclesDecision Making | —Unverified | 0 |
| On the Impact of Output Perturbation on Fairness in Binary Linear Classification | Feb 5, 2024 | FairnessPrivacy Preserving | —Unverified | 0 |
| On the Impact of Side Information on Smart Meter Privacy-Preserving Methods | Jun 29, 2020 | Privacy Preserving | —Unverified | 0 |
| The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets | Dec 8, 2023 | AttributePrivacy Preserving | —Unverified | 0 |