Revealing the Distributional Vulnerability of Discriminators by Implicit Generators

Zhilin Zhao, Longbing Cao, Kun-Yu Lin

In deep neural learning, a discriminator trained on in-distribution (ID) samples may make high-confidence predictions on out-of-distribution (OOD) samples. This triggers a signific…