most citedAttack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models

18 citations · 18 across the 1 of their papers we have counts for

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1 paper

cs.CR2017★ 18 cited

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models

Jack W. Stokes, De Wang, Mady Marinescu +2

Recently researchers have proposed using deep learning-based systems for malware detection. Unfortunately, all deep learning classification systems are vulnerable to adversarial at…