AI, Machine Learning and Deep Learning: A Security Perspective

Hu, Fei, Hei, Xiali

AI, Machine Learning and Deep Learning: A Security Perspective
  • 出版商: CRC
  • 出版日期: 2024-12-19
  • 售價: $2,310
  • 貴賓價: 9.5 折 $2,195
  • 語言: 英文
  • 頁數: 334
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 103203405X
  • ISBN-13: 9781032034058
  • 相關分類: Machine Learning、DeepLearning、資訊安全

    • 尚未上市，無法訂購

相關主題

商品描述

Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use.

While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security).

Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects:

  1. This is the first book to explain various practical attacks and countermeasures to AI systems
  2. Both quantitative math models and practical security implementations are provided
  3. It covers both "securing the AI system itself" and "using AI to achieve security"
  4. It covers all the advanced AI attacks and threats with detailed attack models
  5. It provides multiple solution spaces to the security and privacy issues in AI tools
  6. The differences among ML and DL security and privacy issues are explained
  7. Many practical security applications are covered

商品描述(中文翻譯)

今天，人工智慧（AI）和機器學習/深度學習（ML/DL）已成為資訊科技中最熱門的領域。在我們的社會中，許多智能設備依賴於AI/ML/DL算法/工具進行智能操作。儘管AI/ML/DL算法和工具已被應用於許多網路應用和電子設備中，但它們也容易受到各種攻擊和威脅。AI參數可能會被內部攻擊者扭曲；深度學習的輸入樣本可能會被對手污染；機器學習模型可能會因改變分類邊界而受到誤導，還有許多其他攻擊和威脅。這些攻擊可能使AI產品變得危險。

雖然本討論集中於AI/ML/DL系統中的安全問題（即保護智能系統本身），但AI/ML/DL模型和算法實際上也可以用於網路安全（即利用AI來實現安全）。

由於AI/ML/DL安全是一個新興領域，許多研究人員和業界專業人士尚未能夠對這一領域獲得詳細、全面的理解。本書旨在提供有關各種應用中相關安全問題的挑戰和解決方案的完整圖景。它解釋了在先進的AI工具中可能發生的不同攻擊以及克服這些攻擊的挑戰。接著，本書描述了許多有前景的解決方案，以實現AI的安全性和隱私。本書的特點有七個方面：

1. 這是第一本解釋各種實際攻擊和對AI系統的對策的書籍
2. 提供了定量數學模型和實際安全實施
3. 涵蓋了「保護AI系統本身」和「利用AI實現安全」兩個方面
4. 詳細介紹了所有先進的AI攻擊和威脅及其攻擊模型
5. 提供了多個解決方案空間以應對AI工具中的安全和隱私問題
6. 解釋了機器學習和深度學習在安全和隱私問題上的差異
7. 涵蓋了許多實際的安全應用

作者簡介

Dr. Fei Hu is a professor in the department of Electrical and Computer Engineering at the University of Alabama. He has published over 10 technical books with CRC press. His research focus includes cyber security and networking. He obtained his Ph.D. degrees at Tongji University (Shanghai, China) in the field of Signal Processing (in 1999), and at Clarkson University (New York, USA) in Electrical and Computer Engineering (in 2002). He has published over 200 journal/conference papers and books. Dr. Hu's research has been supported by U.S. National Science Foundation, Cisco, Sprint, and other sources. He won the school's President's Faculty Research Award (

Dr. Xiali (Sharon) Hei is an assistant professor in the School of Computing and Informatics at the University of Louisiana at Lafayette. Her research focus is cyber and physical security. Prior to joining the University of Louisiana at Lafayette, she was an assistant professor at Delaware State University from 2015-2017 and Frostburg State University 2014-2015. Sharon received his Ph.D. in computer science from Temple University in 2014, focusing on computer security.

作者簡介(中文翻譯)

Dr. Fei Hu 是阿拉巴馬大學電機與計算機工程系的教授。他與 CRC Press 合作出版了超過 10 本技術書籍。他的研究重點包括網路安全和網路技術。他於 1999 年在中國上海的同濟大學獲得信號處理領域的博士學位，並於 2002 年在美國紐約的克拉克森大學獲得電機與計算機工程的博士學位。他已發表超過 200 篇期刊/會議論文和書籍。胡博士的研究得到了美國國家科學基金會、思科、Sprint 及其他來源的支持。他獲得了學校的校長教職員研究獎。

Dr. Xiali (Sharon) Hei 是路易斯安那州立大學計算與資訊學院的助理教授。她的研究重點是網路與物理安全。在加入路易斯安那州立大學之前，她曾於 2015 至 2017 年在德拉瓦州立大學擔任助理教授，並於 2014 至 2015 年在弗羅斯特堡州立大學任教。Sharon 於 2014 年在天普大學獲得計算機科學博士學位，專注於計算機安全。

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