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 Infosec - Adversarial Machine Learning

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MensajeTema: Infosec - Adversarial Machine Learning   Infosec - Adversarial Machine  Learning EmptySáb Jun 27, 2020 6:13 am

Infosec - Adversarial Machine  Learning B1d107ea06f17c64b9649f68b6513ef8

Infosec - Adversarial Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lessons (33m) | Size: 129.2 MB

Learn how to perform white-box and black-box attacks on machine learning classifiers in this course.

This course begins by providing an overview of white-box and black-box adversarial attacks on machine learning systems. It will then guide you through using the Fast Gradient Signed Method (FGSM) white-box attack on a keras machine learning model. Next, we will cover black-box attacks. You will be guided on using a machine learning as a service system called Clarif.AI and then performing a black-box adversarial attack to trick this service into labeling a benign image as dangerous. Finally, to solidify learning, the student is given an assignment on tricking a MNIST keras classifier via a white-box adversarial attack.

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