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Security and artificial intelligence : a crossdisciplinary approach / Lejla Batina, Thomas Bäck, Ileana Buhan, Stjepan Picek (eds.).

Batina, Lejla, editor.; Bäck, Thomas, 1963- editor.; Buhan, Ileana, editor.; Picek, Stjepan, editor.
2022
QA76.9.A25 S43 2022
Available Online
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Title
Security and artificial intelligence : a crossdisciplinary approach / Lejla Batina, Thomas Bäck, Ileana Buhan, Stjepan Picek (eds.).
ISBN
9783030987954 (electronic bk.)
3030987957 (electronic bk.)
9783030987947
3030987949
DOI
https://doi.org/10.1007/978-3-030-98795-4
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color).
Item Number
10.1007/978-3-030-98795-4 doi
Call Number
QA76.9.A25 S43 2022
Dewey Decimal Classification
006.3
Summary
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-blind mode and revised. .
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 12, 2022).
Added Author
Batina, Lejla, editor.
Bäck, Thomas, 1963- editor.
Buhan, Ileana, editor.
Picek, Stjepan, editor.
Series
Lecture notes in computer science ; 13049.
Available in Other Form
Security and artificial intelligence.
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Online Access
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All Resources
AI for Cryptography
Artificial Intelligence for the Design of Symmetric Cryptographic Primitives
Traditional Machine Learning Methods for Side-Channel Analysis
Deep Learning on Side-Channel Analysis
Artificial Neural Networks and Fault Injection Attacks
Physically Unclonable Functions and AI: Two Decades of Marriage
AI for Authentication and Privacy
Privacy-Preserving Machine Learning using Cryptography
Machine Learning Meets Data Modification: the Potential of Pre-processing for Privacy Enhancement
AI for Biometric Authentication Systems
Machine Learning and Deep Learning for Hardware Fingerprinting. - AI for Intrusion Detection
Intelligent Malware Defenses
Open-World Network Intrusion Detection
Security of AI
Adversarial Machine Learning
Deep Learning Backdoors. - On Implementation-level Security of Edge-based Machine Learning Models.

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