| Nemesis: Noise-randomized Encryption with Modular Efficiency and Secure Integration in Machine Learning Systems | Dec 18, 2024 | Privacy Preserving | —Unverified | 0 |
| FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning | Dec 18, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Trustworthy Transfer Learning: A Survey | Dec 18, 2024 | Privacy PreservingSurvey | —Unverified | 0 |
| Towards privacy-preserving cooperative control via encrypted distributed optimization | Dec 18, 2024 | Distributed OptimizationPrivacy Preserving | —Unverified | 0 |
| Clio: Privacy-Preserving Insights into Real-World AI Use | Dec 18, 2024 | Privacy Preserving | —Unverified | 0 |
| Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models | Dec 18, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service | Dec 17, 2024 | Privacy PreservingRAG | —Unverified | 0 |
| Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning | Dec 16, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| How Private are Language Models in Abstractive Summarization? | Dec 16, 2024 | Abstractive Text SummarizationPrivacy Preserving | —Unverified | 0 |
| A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding | Dec 16, 2024 | Adversarial RobustnessBrain Computer Interface | —Unverified | 0 |
