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.
| Autorius: | Yuguang Yao, Vishal Asnani, Jiancheng Liu, |
| Leidėjas: | Now Publishers Inc |
| Išleidimo metai: | 2024 |
| Knygos puslapių skaičius: | 112 |
| ISBN-10: | 1638283400 |
| ISBN-13: | 9781638283409 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Online safety and behaviour |
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