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Differentially Private Synthetic Data Generation via Foundation Model APIs
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- 1 Intro
- 2 (Generative) Neural networks can memorize!
- 3 Differential Privacy (DP)
- 4 Existing Approaches
- 5 DP Synthetic Data via APIs
- 6 Why can it work?
- 7 Diffusion Models
- 8 Distance function
- 9 Downstream Classification
- 10 Private Evolution at work
- 11 Stable Diffusion
- 12 Non-private convergence of PE
- 13 Proof Sketch
- 14 Intrinsic dimension
- 15 Conclusions
