Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation

The authors propose using Neural Tangent Kernels (NTKs) for differentially private data generation, showing that the expressiveness of untrained e-NTK features rivals pre-trained perceptual features. This approach improves the privacy-accuracy trade-off without relying on public data.