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"Generative models are only vulnerable to adversarial examples that are actually unlikely in the data distribution. They do not have patterns or filters that ca
by oifnwoivnoinvo 10y ago
"Generative models are only vulnerable to adversarial examples that are actually unlikely in the data distribution. They do not have patterns or filters that can be added to ordinary images to cause wild misclassifications."
^ Actually, you are wrong on this. See this recent paper "Universal adversarial perturbations"
https://arxiv.org/pdf/1610.08401v1.pdf https://arxiv.org/pdf/1610.08401v1.pdf
- eli_gottlieb 10y agoThat paper deals with non-stochastic deep neural networks, and its mathematical analysis deals with discriminative classification. It doesn't deal with generative models, which model the joint probability distribution of classes and data instances rather than just taking a maximum-a-posteriori estimate from the posterior.