Towards Adversarial Malware Detection
نویسندگان
چکیده
منابع مشابه
Adversarial Examples for Malware Detection
Machine learning models are known to lack robustness against inputs crafted by an adversary. Such adversarial examples can, for instance, be derived from regular inputs by introducing minor—yet carefully selected—perturbations. In this work, we expand on existing adversarial example crafting algorithms to construct a highly-effective attack that uses adversarial examples against malware detecti...
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ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 2019
ISSN: 0360-0300,1557-7341
DOI: 10.1145/3332184