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CRC Press AI, Machine Learning and Deep Learning: A Security Perspective

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Description

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 and 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. This comprehensive book by CRC Press examines how AI parameters may be distorted by internal attackers, how DL input samples may be polluted by adversaries, and how ML models may be misled by changing the classification boundary, among many other attack vectors. Gain essential knowledge on protecting intelligent systems from emerging threats.

Key Features

CRC Press presents a focused examination of security vulnerabilities inherent in AI and Machine Learning systems used across modern technology.

Explores how Deep Learning input samples can be compromised by adversarial attacks and pollution techniques designed to undermine model accuracy.

Addresses critical security concerns specific to Machine Learning models, including boundary manipulation and classification evasion methods.

Covers threats to AI parameter integrity from internal attackers and external adversaries targeting intelligent device operations.

Provides security guidance for professionals developing or deploying AI/ML/DL solutions in internet applications and electronic devices.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 June 2023
Listed Since
16 November 2022

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