Download Us 17 Anderson Bot Vs Bot Evading Machine Learning Malware Detection WP PDF Free - Full Version
Download Us 17 Anderson Bot Vs Bot Evading Machine Learning Malware Detection WP by ['Psicoloco'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Us 17 Anderson Bot Vs Bot Evading Machine Learning Malware Detection WP
This document discusses evading machine learning malware detection models. It summarizes previous attacks on ML models, which generally require some knowledge of the target model. The authors then propose a more ambitious and realistic approach: using reinforcement learning to evade static analysis anti-malware engines without any knowledge of the target model's structure or parameters. The reinforcement learning agent is equipped to modify a malware sample while preserving functionality, and learns which modifications are most likely to evade detection through trial and error. The goal is to both evaluate weaknesses in anti-malware engines and generate evasive malware variants to harden ML models through adversarial training.
Detailed Information
| Author: | ['Psicoloco'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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