Akademibokhandeln
Jaydip Sen - Adversarial Machine Learning, Inbunden

Inbunden, Engelska, 2026

Adversarial Machine Learning

Attacks, Defenses, and Emerging Strategies

Av Jaydip Sen

2729 kr

Kommande

Beskrivning
This book explores one of the most pressing challenges in artificial intelligence: the vulnerability of learning models to adversarial attacks. It presents a clear overview of how such attacks are crafted and the innovative defenses being developed to counter them. Readers will find a balanced mix of theory and practice, with detailed coverage of both text and image domains. Topics range from saliency-based text manipulation and gradient-driven attacks to ensemble frameworks and meta-learning approaches for defense. The volume also highlights hybrid strategies that combine training and preprocessing methods to improve resilience. A distinctive feature of this work is its dual focus: it examines the evolving techniques of attackers while also offering structured and practical defense strategies. Designed for researchers, practitioners, and students, it provides both conceptual clarity and hands-on insights into a rapidly advancing field.
Produktinformation
  • Utgivningsdatum: 2026-07-01
  • Mått: 148 x 212 x undefined mm
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 308
  • Förlag: Cambridge Scholars Publishing
  • ISBN: 9781036474416
Utforska kategorier
Mer information

Jaydip Sen is a Professor at the Praxis Business School, Kolkata, India. His research covers machine learning, Internet of Things, cryptography, network security, and artificial intelligence. He has published around 40 journal articles, 110 peer-reviewed conference papers, and 40 book chapters. He has also authored 4 volumes and edited 14 scholarly books in these fields. His works have received more than 11,400 citations, reflecting their global impact. He is a Senior Member of the Institute of Electrical and Electronics Engineers, USA, and the Association for Computing Machinery, USA. In addition to his extensive publication record, he serves as a reviewer for several leading journals. His current research focuses on adversarial machine learning, robust defense strategies, large language model architectures, and the design of efficient decoding algorithms for large language models.

Butikslager

Ej i lager i butik.

Betyg & recensioner

0 recensioner

Inga recensioner tillgängliga.