most citedBinary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model

19 citations · 19 across the 1 of their papers we have counts for

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cs.CR2020★ 19 cited

Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model

Mohammadreza Ebrahimi, Ning Zhang, James Hu +2

Anti-malware engines are the first line of defense against malicious software. While widely used, feature engineering-based anti-malware engines are vulnerable to unseen (zero-day)…