Reliability of neural networks: We strengthen the resistance of AI to deception
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Deep neural networks (DNN) become an integral part of IT products, provoking the appearance of a new direction of cyber attacks. Hackers are trying to deceive the neural networks with the help of data that could not deceive a person.
Katie Warr considers the motivation of such attacks, risks that attract malicious input, as well as methods for increasing the resistance of AI to such hacks. If you are a specialist in Data Science, a security architect and strive to increase the stability of systems with AI or you are simply interested in the difference between artificial and biological perception, then this book is for you
Katie Warr considers the motivation of such attacks, risks that attract malicious input, as well as methods for increasing the resistance of AI to such hacks. If you are a specialist in Data Science, a security architect and strive to increase the stability of systems with AI or you are simply interested in the difference between artificial and biological perception, then this book is for you
Author:
Author:Warr Katie
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
- Category:Politics & Social Science
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
Series:
Series: Bestseller O`Reilly
Age restrictions:
Age restrictions:16+
ISBN:
ISBN:978-5-4461-1676-8
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