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20202024
most citedBinary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model

19 citations · 22 across the 5 of their papers we have counts for

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cs.CR2024

Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach

Brian Etter, James Lee Hu, Mohammedreza Ebrahimi +3

Adversarial Malware Generation (AMG), the generation of adversarial malware variants to strengthen Deep Learning (DL)-based malware detectors has emerged as a crucial tool in the d…