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Security and Artificial Intelligence

A Crossdisciplinary Approach

  • Book
  • © 2022

Overview

  • Cross-disciplinary researchers demonstrate collaborative approaches
  • deals with security and privacy problems at algorithm, architecture, and implementation level
  • Content valuable for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13049)

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About this book

AI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains.

The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blindmode and revised.

 

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Keywords

Table of contents (14 chapters)

  1. AI for Cryptography

  2. AI for Authentication and Privacy

  3. AI for Intrusion Detection

  4. Security of AI

Editors and Affiliations

  • Radboud University Nijmegen, Nijmegen, The Netherlands

    Lejla Batina, Ileana Buhan, Stjepan Picek

  • Leiden University, Leiden, The Netherlands

    Thomas Bäck

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