| Differentially Private Algorithms for Synthetic Power System Datasets | Mar 20, 2023 | Privacy Preserving | CodeCode Available | 0 | 5 |
| How Private Is Your RL Policy? An Inverse RL Based Analysis Framework | Dec 10, 2021 | Adversarial AttackAutonomous Driving | CodeCode Available | 0 | 5 |
| DP-EM: Differentially Private Expectation Maximization | May 23, 2016 | Privacy Preserving | CodeCode Available | 0 | 5 |
| DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning | Aug 19, 2023 | Multi-agent Reinforcement LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning | Nov 29, 2023 | Federated LearningInference Attack | CodeCode Available | 0 | 5 |
| Domain Adaptation from Scratch | Sep 2, 2022 | Active LearningDomain Adaptation | CodeCode Available | 0 | 5 |
| In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages | Nov 10, 2024 | De-identificationIn-Context Learning | CodeCode Available | 0 | 5 |
| Independent Distribution Regularization for Private Graph Embedding | Aug 16, 2023 | AttributeGraph Embedding | CodeCode Available | 0 | 5 |
| Backpropagation Clipping for Deep Learning with Differential Privacy | Feb 10, 2022 | Deep LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Distributed Differentially Private Computation of Functions with Correlated Noise | Apr 22, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
