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Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks (Foundations and Trends(R) in Privacy and Security)
Yuguang Yao; Vishal Asnani; Jiancheng Liu (Author)
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Now Publishers
· Paperback
Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks (Foundations and Trends(R) in Privacy and Security) - Yuguang Yao; Vishal Asnani; Jiancheng Liu
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Synopsis "Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks (Foundations and Trends(R) in Privacy and Security)"
This monograph presents a comprehensive exploration of Reverse Engineering of Deceptions (RED) in the field of adversarial machine learning. It delves into the intricacies of machine and human-centric attacks, providing a holistic understanding of how adversarial strategies can be reverse-engineered to safeguard AI systems. For machine-centric attacks, reverse engineering methods for pixel-level perturbations are covered, as well as adversarial saliency maps and victim model information in adversarial examples. In the realm of human-centric attacks, the focus shifts to generative model information inference and manipulation localization from generated images. In this work, a forward-looking perspective on the challenges and opportunities associated with RED are presented. In addition, foundational and practical insights in the realms of AI security and trustworthy computer vision are provided.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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