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pro vyhledávání: '"Shapira, Tzvika"'
The performance of a machine learning-based malware classifier depends on the large and updated training set used to induce its model. In order to maintain an up-to-date training set, there is a need to continuously collect benign and malicious files
Externí odkaz:
http://arxiv.org/abs/2010.16323
Recent research shows that neural networks models used for computer vision (e.g., YOLO and Fast R-CNN) are vulnerable to adversarial evasion attacks. Most of the existing real-world adversarial attacks against object detectors use an adversarial patc
Externí odkaz:
http://arxiv.org/abs/2010.13070