Get Free Shipping on orders over $79
AI, Machine Learning and Deep Learning : A Security Perspective - Fei  Hu

AI, Machine Learning and Deep Learning

A Security Perspective

By: Fei Hu (Editor), Xiali Hei (Editor)

Paperback | 19 December 2024 | Edition Number 1

At a Glance

Paperback


$170.99

or 4 interest-free payments of $42.75 with

 or 

Ships in 15 to 25 business days

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

More in Mathematical Foundation

Current Trends in Automated Reasoning - Erika Bach
Handbook of Automated Reasoning - Rachel Phillips
Advances in Automated Reasoning - Rachel Phillips
Alex's Adventures in Numberland : Tenth Anniversary Edition - Alex Bellos
Unequal : The Maths of When Things Do and Don't Add Up - Eugenia Cheng
Teaching Secondary Mathematics : 2nd Edition - Gregory Hine

RRP $80.95

$66.99

17%
OFF
Foundation Maths : 7th Edition - Anthony Croft

RRP $140.65

$124.99

11%
OFF