| Generating Differentially Private Datasets Using GANs | Jan 1, 2018 | BIG-bench Machine LearningGenerative Adversarial Network | —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 |
| 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 |
| Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning | Mar 9, 2023 | Privacy PreservingPrivacy Preserving Deep Learning | —Unverified | 0 |
| GenShare: Sharing Accurate Differentially-Private Statistics for Genomic Datasets with Dependent Tuples | Dec 30, 2021 | Privacy Preserving | —Unverified | 0 |
| GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System | Nov 17, 2023 | DecoderPrivacy Preserving | —Unverified | 0 |
