The fight to stymie adversarial machine learning is on

The use of machine learning (ML) technology is booming. This development is being driven by the many immediate gains that can be achieved using machine learning models in diverse domains, from image recognition to credit risk prediction. However, just like the boom in software development and the Internet attracted hackers that leveraged vulnerabilities in software to subvert it, so does machine learning. With the rise of ML-based security solutions, malware authors are beginning to employ … More →
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