Strengthening Deep Neural Networks: Making AI Less...

Main
Computers - Computer Science
Strengthening Deep Neural Networks:...

Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery

Name: Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery
ISBN: 9781492044956

Katy Warr

0 / 0

0 comments

როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn't trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs—the algorithms intrinsic to much of AI—are used daily to process image, audio, and video data.

Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you're a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you.

Delve into DNNs and discover how they could be tricked by adversarial input

Investigate methods used to generate adversarial input capable of fooling DNNs

Explore real-world scenarios and model the...

კატეგორია:

Computers - Computer Science

წელი:

2019

გამოცემა:

გამომცემლობა:

O’Reilly Media

ენა:

english