2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2026
Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection
Mingyue Yang, David Lie, Nicolas Papernot
As concept drift due to malware evolution presents challenges for malware classification, machine learning-based data drift detection tools are developed to mitigate this problem.…
cs.CR2026★ 2 cited
AI Agents Enable Adaptive Computer Worms
Jonas Guan, Tom Blanchard, Hanna Foerster +3
A computer worm is malware that spreads on a network by replicating itself from one machine to another. Traditional worms, like WannaCry, exploited predetermined vulnerabilities, a…