Adversarial Robustness for Machine Learning Chen Pin-Yu
Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and veri?cation. Other sections discuss adversarial examples beyond image classification, other threat models beyond testing t… Celý popis ↓
Porovnanie cien Adversarial Robustness for Machine Learning Chen Pin-Yu
Popis Adversarial Robustness for Machine Learning Chen Pin-Yu
Adversarial Robustness for Machine Learning Chen Pin-Yu
Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and veri?cation. Other sections discuss adversarial examples beyond image classification, other threat models beyond testing time attack, and applications on adversarial robustness. 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.
While machine learning (ML) algorithms have 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.In addition, the book can also be used as a textbook for graduate courses on adversarial robustness or trustworthy machine learning.
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