Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation
Sajani Vithana, Sangwon Jung, Haoyang Hu, Viveck R. Cadambe, Flavio P. Calmon, Haewon Jeong
cs.IT, cs.CR
Submitted: 2026-07-20
Code: https://github.com/sajani-vithana/PUBMIX
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Differentially Private Diffusion Models Generate Useful Synthetic Images
- Submix: Practical Private Prediction for Large-Scale Language Models
- Scalable Private Learning with PATE
- DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
- How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
- RoBERTa: A Robustly Optimized BERT Pretraining Approach
- Llama 2: Open Foundation and Fine-Tuned Chat Models
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