Multi-scanner Antivirus systems provide insightful information on the nature of a suspect application; however there is often a lack of consensus and consistency between different Anti-Virus engines. In this article, we analyze more than 250 thousand malware signatures generated by 61 different Anti-Virus engines after…
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New testing method quantifies ML vs AV robustness against evasion.
problem Benchmarking ML vs AV for malware detection.
method Developed new testing methodology to evaluate performance changes on modified files.
result ML systems show greater robustness against evasion than AV products.