43 citations · 57 across the 18 of their papers we have counts for
Showing 2019Show all
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cs.LG2019★ 3 cited
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions
He Zhao, Trung Le, Paul Montague +3
Deep neural network image classifiers are reported to be susceptible to adversarial evasion attacks, which use carefully crafted images created to mislead a classifier. Recently, v…
stat.ML2019★ 5 cited
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence
Yi Han, David Hubczenko, Paul Montague +6
Recent studies have demonstrated that reinforcement learning (RL) agents are susceptible to adversarial manipulation, similar to vulnerabilities previously demonstrated in the supe…