| Exploring Federated Pruning for Large Language Models | May 19, 2025 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification | Nov 29, 2021 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Estimating Model Performance on External Samples from Their Limited Statistical Characteristics | Feb 28, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Independent Distribution Regularization for Private Graph Embedding | Aug 16, 2023 | AttributeGraph Embedding | CodeCode Available | 0 | 5 |
| Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) | Dec 20, 2023 | Computational EfficiencyPrivacy Preserving | CodeCode Available | 0 | 5 |
| Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks | Mar 4, 2024 | Inference AttackPrivacy Preserving | CodeCode Available | 0 | 5 |
| Privacy-preserving datasets by capturing feature distributions with Conditional VAEs | Aug 1, 2024 | DiversityPrivacy Preserving | CodeCode Available | 0 | 5 |
| Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting | May 22, 2023 | Decision MakingPrivacy Preserving | CodeCode Available | 0 | 5 |
| ER-AE: Differentially Private Text Generation for Authorship Anonymization | Jul 20, 2019 | Privacy PreservingText Generation | CodeCode Available | 0 | 5 |
| Exploring Selective Layer Fine-Tuning in Federated Learning | Aug 28, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
