| Privacy-Preserving Federated Learning via Dataset Distillation | Oct 25, 2024 | AttributeDataset Distillation | —Unverified | 0 |
| LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples | Oct 24, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Differentially Private Learning Needs Better Model Initialization and Self-Distillation | Oct 23, 2024 | DiversityPrivacy Preserving | CodeCode Available | 0 |
| Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning | Oct 23, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Preserving Privacy in Cloud-based Data-Driven Stabilization | Oct 22, 2024 | Privacy Preserving | CodeCode Available | 0 |
| Network Inversion for Training-Like Data Reconstruction | Oct 22, 2024 | Privacy Preserving | —Unverified | 0 |
| UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs | Oct 22, 2024 | Privacy Preserving | —Unverified | 0 |
| Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection | Oct 22, 2024 | AttributeFairness | —Unverified | 0 |
| Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy | Oct 22, 2024 | Action RecognitionActivity Recognition | —Unverified | 0 |
| Private, Efficient and Scalable Kernel Learning for Medical Image Analysis | Oct 21, 2024 | Blood Cell DetectionCell Detection | —Unverified | 0 |