Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks
Author:   Yuguang Yao ,  Vishal Asnani ,  Jiancheng Liu ,  Xiaoming Liu
Publisher:   now publishers Inc
ISBN:  

9781638283409


Pages:   112
Publication Date:   26 March 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks


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Overview

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.

Full Product Details

Author:   Yuguang Yao ,  Vishal Asnani ,  Jiancheng Liu ,  Xiaoming Liu
Publisher:   now publishers Inc
Imprint:   now publishers Inc
Weight:   0.170kg
ISBN:  

9781638283409


ISBN 10:   1638283400
Pages:   112
Publication Date:   26 March 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction 2. Reverse Engineering of Adversarial Examples 3. Model Parsing via Adversarial Examples 4. Reverse Engineering of Generated Images 5. Manipulation Localization of Generated Images 6. Conclusion and Discussion References

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