163 citations · 1.4k across the 139 of their papers we have counts for
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cs.LG2018★ 13 cited
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji, Hamed Hassani, Rama Chellappa +1
Building on the success of deep learning, two modern approaches to learn a probability model from the data are Generative Adversarial Networks (GANs) and Variational AutoEncoders (…
cs.LG2018
Are adversarial examples inevitable?
Ali Shafahi, W. Ronny Huang, Christoph Studer +2
A wide range of defenses have been proposed to harden neural networks against adversarial attacks. However, a pattern has emerged in which the majority of adversarial defenses are…