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20242026
most citedDRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift

2 citations · 5 across the 7 of their papers we have counts for

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cs.SE2024★ 2 cited

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points

Dan Ristea, Shae McFadden, Ezzeldin Shereen +4

Security vulnerabilities in software can have severe consequences; however, manual vulnerability detection is costly and does not scale, especially as agentic coding frameworks inc…

cs.LG2024★ 1 cited

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)

Zeliang Kan, Shae McFadden, Daniel Arp +5

Machine learning (ML) plays a pivotal role in detecting malicious software. Despite the high F1-scores reported in numerous studies reaching upwards of 0.99, the issue is not compl…