Exploring Backdoor Poisoning Attacks Against Malware Classifiers

Severi Giorgio
Severi Giorgio
Meyer Jim
Meyer Jim
Coull Scott
Coull Scott
Cited by: 0|Bibtex|Views23
Other Links: arxiv.org

Abstract:

Current training pipelines for machine learning (ML) based malware classification rely on crowdsourced threat feeds, exposing a natural attack injection point. We study for the first time the susceptibility of ML malware classifiers to backdoor poisoning attacks, specifically focusing on challenging "clean label" attacks where attackers...More

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