Reliability of neural networks: We strengthen the resistance of AI to deception
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