Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks (Foundations and Trends? in Privacy and Security)

Yao, Yuguang; Asnani, Vishal; Liu, Jiancheng; Liu, Xiaoming; Guo, Xiao; Gong, Yifan; Lin, Xue; Liu, Sijia

ISBN 10: 1638283400 / ISBN 13: 9781638283409

Published by Now Publishers, 2024

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Bibliographic Details

• Title: Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks (Foundations and Trends? in Privacy and Security)
• Publisher: Now Publishers
• Publication Date: 2024
• Language: English
• ISBN 10: 1638283400
• ISBN 13: 9781638283409
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.