Exploring Adversarial Examples in Malware Detection

Exploring Adversarial Examples in Malware Detection Octavian Suciu (University of Maryland, College Park) Presented at the 2nd Deep Learning and Security Workshop May 23, 2019 at the 2019 IEEE Symposium on Security & Privacy San Francisco, CA ABSTRACT The convolutional neural network (CNN) architecture is increasingly being applied to new domains, such as malware detection, where it is able to learn
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