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20172020
most citedLearning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning

182 citations · 246 across the 7 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cs.LG2018

Cost-Sensitive Robustness against Adversarial Examples

Xiao Zhang, David Evans

Several recent works have developed methods for training classifiers that are certifiably robust against norm-bounded adversarial perturbations. These methods assume that all the a…

cs.CR2018★ 182 cited

Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning

Hyrum S. Anderson, Anant Kharkar, Bobby Filar +2

Machine learning is a popular approach to signatureless malware detection because it can generalize to never-before-seen malware families and polymorphic strains. This has resulted…