| Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners | Dec 31, 2023 | Privacy Preservingregression | —Unverified | 0 |
| Balanced Multi-modal Federated Learning via Cross-Modal Infiltration | Dec 31, 2023 | Distributed ComputingFederated Learning | —Unverified | 0 |
| CamPro: Camera-based Anti-Facial Recognition | Dec 30, 2023 | Face IdentificationHuman Detection | CodeCode Available | 0 |
| ConfusionPrompt: Practical Private Inference for Online Large Language Models | Dec 30, 2023 | Privacy PreservingZero-shot Generalization | —Unverified | 0 |
| Towards Real-World Blind Face Restoration with Generative Diffusion Prior | Dec 25, 2023 | Blind Face RestorationPrivacy Preserving | CodeCode Available | 1 |
| Privacy-Preserved Neural Graph Databases | Dec 25, 2023 | Privacy PreservingRAG | CodeCode Available | 0 |
| FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization | Dec 24, 2023 | AttributeFederated Learning | —Unverified | 0 |
| An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms | Dec 24, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| IRG: Generating Synthetic Relational Databases using Deep Learning with Insightful Relational Understanding | Dec 23, 2023 | Data AugmentationGenerative Adversarial Network | —Unverified | 0 |
| Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks | Dec 23, 2023 | Privacy Preserving | CodeCode Available | 0 |
