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

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

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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.
  • ISBN13 9781638283409
  • Publish Date 26 March 2024
  • Publish Status Active
  • Publish Country US
  • Imprint now publishers Inc