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ROOTS 2019 Talk: Shallow Security: on the Creation of Adversarial Variants to Evade ML-Based Malware Detectors – Fabricio Ceschin

Published on November 22, 2019 By sanna

The use of Machine Learning (ML) techniques for malware detection has been a trend in the last two decades. More recently, researchers started to investigate adversarial approaches to bypass these ML-based malware detectors. Adversarial attacks became so popular that a large Internet company (ENDGAME Inc.) has launched a public challenge to encourage researchers to bypass […]