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Found 3 papers, 2 papers with code
A Comparison of Adversarial Learning Techniques for Malware Detection
Machine learning has proven to be a useful tool for automated malware detection, but machine learning models have also been shown to be vulnerable to adversarial attacks.
Creating Valid Adversarial Examples of Malware
Machine learning is becoming increasingly popular as a go-to approach for many tasks due to its world-class results.
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate
Antivirus developers are increasingly embracing machine learning as a key component of malware defense.
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