Adversarial Robustness for Machine 1st Edition

Adversarial Robustness for Machine Learning 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9780128240205,0128240202,9780128242575, 0128242574

Product details:

• ISBN-10: 0128242574
• ISBN-13: 9780128242575
• Author: Pin-Yu Chen, Cho-Jui Hsieh

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and veri?cation. Sections cover adversarial attack, veri?cation and defense, mainly focusing on image classi?cation applications which are the standard benchmark considered in the adversarial robustness community. Other sections discuss adversarial examples beyond image classification, other threat models beyond testing time attack, and applications on adversarial robustness. For researchers, this book provides a thorough literature review that summarizes latest progress in the area, which can be a good reference for conducting future research.

Table contents:

Part 1: Preliminaries

Part 2: Adversarial attack

Part 3: Robustness verification

Part 4: Adversarial defense

Part 5: Applications beyond attack and defense

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