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Adversarial Example Detection and Mitigation Using Machine Learning

Adversarial Example Detection and Mitigation Using Machine Learning

Hardcover

General ComputersProbability & StatisticsComputer Security

Currently unavailable to order

ISBN10: 3031994469
ISBN13: 9783031994463
Publisher: Springer
Published: Jan 22 2026
Pages: 304
Weight: 1.35
Height: 1.00 Width: 6.10 Depth: 8.90
Language: English
This book offers a comprehensive exploration of the emerging threats and defense strategies in adversarial machine learning and AI security. It covers a broad range of topics, from federated learning attacks, adversarial defenses, biometric vulnerabilities, and security weaknesses in generative AI to quantum threats and ethical considerations. It also brings together leading researchers to provide an in-depth and multifaceted perspective.

Also from

Nowroozi, Ehsan

Also in

General Computers