Monte Carlo and Reconstruction Membership Inference Attacks against generative models

We present two information leakage attacks that outperform previous work on membership inference against generative models. The first attack allows membership inference without assumptions on the type of the generative model. The second attack specifically targets Variational Autoencoders, achieving high membership inference accuracy. Download the Document