Скачать или смотреть Machine Learning Vulnerabilities - CodingNomads Brown Bag Session #2 with Gilad Gressel

CodingNomads Brown Bag Session #2 with Gilad Gressel on Machine Learning and its inherent - somewhat confusing and curious - security vulnerabilities.

Join the conversation on CodingNomads Forum: http://forum.codingnomads.co/.

Adversarial Attacks - Demo's
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[Adversarial Patch](   • Adversarial Patch  ) Toaster
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[Adversarial Patch](   • Generating adversarial patches against YOLOv2  ) vs YOLO video recognition
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[Adversarial Patch for Object Detection](   • Adversarial Patch for Object Detection  ) Same idea but now it suppresses all detections on the screen!
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[Download the paper](https://arxiv.org/pdf/1712.09665v2.pdf) and print out the patch yourself (on page 5)
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[Turtle is a gun](https://www.theverge.com/2017/11/2/16...)
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[Adversarial Glasses](https://www.theverge.com/2016/11/3/13...) to become a celebrity
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Good blog / Primers
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[Good Overview](  / tricking-a-machine-into-thinking-youre-mil...  ) by element AI
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[Breaking Things is Easy -- CleverHans Blog](http://www.cleverhans.io/security/pri...)
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[In Depth Tutorial](https://adversarial-ml-tutorial.org/) by Alex Madry
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Libraries
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[Adversarial Robustness Toolbox ART](https://github.com/Trusted-AI/adversa...) - IBM
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[TextAttack](https://github.com/QData/TextAttack) Attacking NLP models
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[SecML](https://secml.gitlab.io/)
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[Cleverhans](https://github.com/cleverhans-lab/cle...)
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[Counterfit](https://github.com/Azure/counterfit/) - this one is for secure risk assessment (it uses ART and TextAttack)