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B01=Fei Hu
B01=Xiali Hei
Category1=Non-Fiction
Category=THR
Category=TJFM
Category=UBL
Category=UMB
Category=UR
Category=UYQ
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€50 to €100
PS=Forthcoming
softlaunch

AI, Machine Learning and Deep Learning: A Security Perspective

English

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
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Current price €53.19
Original price €55.99
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Age Group_Uncategorizedautomatic-updateB01=Fei HuB01=Xiali HeiCategory1=Non-FictionCategory=THRCategory=TJFMCategory=UBLCategory=UMBCategory=URCategory=UYQCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 19 Dec 2024

Product Details
  • Dimensions: 178 x 254mm
  • Publication Date: 19 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032034058

About

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 schools Presidents Faculty Research Award (

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