| To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems? | Jul 13, 2023 | Decision MakingPrivacy Preserving | —Unverified | 0 |
| DBFed: Debiasing Federated Learning Framework based on Domain-Independent | Jul 10, 2023 | FairnessFederated Learning | —Unverified | 0 |
| FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks | Jul 10, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey | Jul 10, 2023 | AttributePrivacy Preserving | —Unverified | 0 |
| Fairness-aware Federated Minimax Optimization with Convergence Guarantee | Jul 10, 2023 | FairnessFederated Learning | —Unverified | 0 |
| On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise | Jul 9, 2023 | Privacy Preserving | —Unverified | 0 |
| Towards Fast and Scalable Private Inference | Jul 9, 2023 | Privacy Preserving | —Unverified | 0 |
| Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem | Jul 7, 2023 | FairnessFederated Learning | —Unverified | 0 |
| A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications | Jul 6, 2023 | Privacy Preserving | CodeCode Available | 0 |
| DPM: Clustering Sensitive Data through Separation | Jul 6, 2023 | ClusteringPrivacy Preserving | CodeCode Available | 0 |
