Name: Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks (Foundations and Trends(R) in Privacy and Security) (en Inglés)
Price: 116.66 USD
Availability: InStock
Author: Yuguang Yao; Vishal Asnani; Jiancheng Liu
ISBN: 9781638283409

portada Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks (Foundations and Trends(R) in Privacy and Security) (en Inglés)

Formato

Libro Físico

Editorial

Now Publishers

Autor

Yuguang Yao; Vishal Asnani; Jiancheng Liu

Idioma

Inglés

N° páginas

112

Encuadernación

Tapa Blanda

ISBN13

9781638283409

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

Yuguang Yao; Vishal Asnani; Jiancheng Liu (Autor) · Now Publishers · Tapa Blanda

Libro Físico

$ 116.66

$ 179.47

Ahorras: $ 62.82

35% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 10 de Junio y el Lunes 24 de Junio.

Lo recibirás en cualquier lugar de Ecuador entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks (Foundations and Trends(R) in Privacy and Security) (en Inglés)"

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.