| CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference | Dec 14, 2024 | Privacy Preserving | —Unverified | 0 |
| ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression | Dec 13, 2024 | Knowledge DistillationPrivacy Preserving | —Unverified | 0 |
| (ε, δ)-Differentially Private Partial Least Squares Regression | Dec 12, 2024 | Privacy Preservingregression | —Unverified | 0 |
| Local Features Meet Stochastic Anonymization: Revolutionizing Privacy-Preserving Face Recognition for Black-Box Models | Dec 11, 2024 | Face RecognitionPrivacy Preserving | —Unverified | 0 |
| Protecting Confidentiality, Privacy and Integrity in Collaborative Learning | Dec 11, 2024 | CPUGPU | —Unverified | 0 |
| Cluster-Enhanced Federated Graph Neural Network for Recommendation | Dec 11, 2024 | Graph Neural NetworkPrivacy Preserving | —Unverified | 0 |
| Federated In-Context LLM Agent Learning | Dec 11, 2024 | Federated LearningIn-Context Learning | —Unverified | 0 |
| dsLassoCov: a federated machine learning approach incorporating covariate control | Dec 11, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions | Dec 10, 2024 | Federated LearningInformation Retrieval | —Unverified | 0 |
| A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy | Dec 9, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
