How to harden machine learning models against adversarial attacks
As attacks become more sophisticated, it is imperative to harden machine learning (ML) models and reduce the adversary’s ability to evade detection.
Katarina Blažić
Former Data Scientist at ReversingLabs. Katarina develops and maintains machine learning models for malware detection. Prior to that, she developed neural networks for multiple computer vision tasks such as optical character recognition and object detection and segmentation.
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How to harden machine learning models against adversarial attacks