AI, Machine Learning and Deep Learning : (Record no. 751357)

MARC details
000 -LEADER
fixed length control field 02579nam a22001937a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781032034058
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number AIM
245 ## - TITLE STATEMENT
Title AI, Machine Learning and Deep Learning :
Sub Title A Security Perspective/
Statement of responsibility, etc Edited By Fei Hu, Xiali Hei
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication London:
Name of publisher CRC Press,
Year of publication 2023.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 346 p.
Other physical details 136 B/W Ill.
520 ## - SUMMARY, ETC.
Summary, etc Today, artificial intelligence (AI) and machine/deep learning (ML/DL) have become the hottest areas in<br/>information technology. In our society, many intelligent devices rely on AI/ML/ DL algorithms/tools for<br/>smart operation. Although AI/ML/DL algorithms/ tools have been used in many internet applications and<br/>electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted<br/>by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be<br/>misled by changing the classification boundary, among many other attacks/threats. Such attacks can make<br/>AI products dangerous to use.<br/>While this discussion focuses on security issues in AI/ML/ DL- based systems (i.e., securing the intelligent<br/>systems themselves), AI/ML/DL models/algorithms can actually also be used for cyber security (i.e., use<br/>of AI to achieve security).<br/>Since AI/ML/ DL security is a newly emergent field, many researchers and industry people cannot yet<br/>obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture<br/>of the challenges and solutions to related security issues in various applications. It explains how different<br/>attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book<br/>describes many sets of promising solutions to achieve AI security and privacy. The features of this book<br/>have seven aspects:<br/>1. This is the first book to explain various practical attacks and countermeasures to AI systems.<br/>2. Both quantitative math models and practical security implementations are provided.<br/>3. It covers both “securing the AI system itself” and “using AI to achieve security.”<br/>4. It covers all the advanced AI attacks and threats with detailed attack models.<br/>5. It provides multiple solution spaces to the security and privacy issues in AI tools.<br/>6. The differences among ML and DL security/privacy issues are explained.<br/>7. Many practical security applications are covered.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term AI
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Deep Learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hu, Fei (Ed.)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hei, Xiali (Ed.)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home Library Current Location Shelving location Date acquired Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction Dept. of Futures Studies Dept. of Futures Studies General Stacks 15/09/2025 006.31 AIM DFS4664 15/09/2025 Book