Search Results for author: Fredrik Harder

Found 1 papers, 1 papers with code

Pre-trained Perceptual Features Improve Differentially Private Image Generation

1 code implementation25 May 2022 Fredrik Harder, Milad Jalali Asadabadi, Danica J. Sutherland, Mijung Park

Training even moderately-sized generative models with differentially-private stochastic gradient descent (DP-SGD) is difficult: the required level of noise for reasonable levels of privacy is simply too large.

Image Generation Transfer Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.