49 citations · 122 across the 7 of their papers we have counts for
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cs.LG2018★ 24 cited
A domain agnostic measure for monitoring and evaluating GANs
Paulina Grnarova, Kfir Y Levy, Aurelien Lucchi +4
Generative Adversarial Networks (GANs) have shown remarkable results in modeling complex distributions, but their evaluation remains an unsettled issue. Evaluations are essential f…
stat.ML2018★ 24 cited
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Gokula Krishnan Santhanam, Paulina Grnarova
Recent work has shown that state-of-the-art models are highly vulnerable to adversarial perturbations of the input. We propose cowboy, an approach to detecting and defending agains…