| Differentially Private CutMix for Split Learning with Vision Transformer | Oct 28, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs | Feb 10, 2025 | Privacy Preserving | —Unverified | 0 |
| Generating Privacy-Preserving Process Data with Deep Generative Models | Mar 15, 2022 | Privacy PreservingRepresentation Learning | —Unverified | 0 |
| Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead | Mar 26, 2025 | Privacy Preserving | —Unverified | 0 |
| Differentially Private Deep Learning with Direct Feedback Alignment | Oct 8, 2020 | Deep LearningPrivacy Preserving | —Unverified | 0 |
| Backdoor Attack on Vertical Federated Graph Neural Network Learning | Oct 15, 2024 | Backdoor AttackFederated Learning | —Unverified | 0 |
| Generating synthetic transactional profiles | Oct 28, 2021 | Privacy Preserving | —Unverified | 0 |
| Generation of Gradient-Preserving Images allowing HOG Feature Extraction | Apr 3, 2021 | BIG-bench Machine LearningFace Recognition | —Unverified | 0 |
| Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? | May 27, 2020 | BenchmarkingFraud Detection | —Unverified | 0 |
| Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving | Apr 21, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 |
