Special Issue "AI Security and Trustworthiness"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Dr. Ihsen Alouani
E-Mail Website
Guest Editor
Polytechnic University Hauts-De-France, 59300 Famars, France
Interests: Hardware Security; Intelligent Transportation Systems; Machine Learning Security and Privacy
Prof. Dr. Abdelmalik Taleb-Ahmed
E-Mail Website
Guest Editor
Laboratory of IEMN DOAE. UMR CNRS 852, University of Valenciennes, 59313 Valenciennes, France
Interests: signal and image processing; medical imaging; face recognition; data fusion; speech processing; machine learning
Special Issues and Collections in MDPI journals
Dr. Anouar Ben-Khalifa
E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Sousse University, Sousse, Tunisia
Interests: Artificial Intelligence; Pattern Recognition; Image Processing; Machine Learning; Intelligent Transportation Systems and Information Fusion
Dr. Mohammed E. Fouda
E-Mail Website
Guest Editor
Department of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA 92697, USA
Interests: AI Hardware; Brain-inspired Computing; Hardware Security, Multivalued Arithmetic; Circuit Theory

Special Issue Information

Dear Colleagues,

Artificial Intelligence has been the key enabler in many human-centric applications that has a direct impact on improving the quality of life of humans. Such applications include autonomous driving, natural language processing, robotics and healthcare. Given the fast growth in AI algorithms that has been witnessed in the last decade, novel software and hardware vulnerabilities have shown up, questioning the trustworthiness of the AI-based solutions. The dangers of manipulation and misuse of these AI models have become of paramount importance to public safety and user privacy. Hence, exploring the AI vulnerabilities and proposing defenses are urgently needed.

We are seeking novel approaches and unpublished work related to AI and machine learning security and privacy for both software and hardware. We solicit experimental, conceptual, and theoretical contributions on the following topics related to AI and machine learning security and privacy. The topics include but are not limited to:

  • Machine learning attacks and defenses
  • Deep learning for enhancing security and privacy
  • Reliability and safety of deep learning architectures
  • Adversarial examples: attacks and defenses
  • Privacy issues in ML
  • AI model stealing and defenses
  • AI Hardware Attacks
  • Robustness to hardware attacks on ML
  • ML for information security
  • Brain-inspired computing attacks and defenses

Prof. Dr. Ihsen Alouani
Prof. Dr. Abdelmalik Taleb-Ahmed
Dr. Anouar Ben-Khalifa
Dr. Mohammed E. Fouda
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ML security
  • Hardware security
  • Model privacy
  • Membership inference
  • Adversarial attacks

Published Papers

This special issue is now open for submission.
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