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Security and Privacy in Artificial Intelligence: Technology, Applications, and Challenges

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 February 2025 | Viewed by 82

Special Issue Editors


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Guest Editor
College of Computing and Data Science, Nanyang Technological University, Nanyang Avenue, Singapore, Singapore
Interests: trustworthy ML; responsible AI; AI copyright protection

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Guest Editor
Cyber Security Research Centre, Nanyang Technological University, Nanyang Avenue, Singapore, Singapore
Interests: deep learning; neural network; adversarial machine learning

E-Mail Website
Guest Editor
School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: adversarial machine learning; artificial intelligence security and privacy

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) technology is widely integrated into applications such as autonomous driving, healthcare, and language processing. Especially in the era of generative artificial intelligence, AI models can generate human-like content, leading to AI technology being more widely used in practice. Although AI technology, especially deep learning, holds tremendous promise, it faces significant security risks regarding adversarial robustness, model backdoors, fairness, and privacy. Due to the intricate nature and interpretative challenges of neural network models, identifying and mitigating these security risks continues to be a major hurdle. This is especially vital in safety-critical domains like aerospace, intelligent medicine, and unmanned aerial vehicles, where the trustworthiness, reliability, and interpretability of AI are paramount. Consequently, ensuring AI safety has emerged as a key focus and a prominent area of research internationally.

This Special Issue will consolidate research efforts to identify security and privacy challenges in AI systems, develop secure and robust AI algorithms and protocols, and create fairness- and copyright-preserving techniques. We invite prospective authors to submit original research contributions on topics including, but not limited to, the following:

  1. Adversarial Attacks and Defenses for AI;
  2. Backdoor Attacks and Defenses for AI;
  3. Data Poisoning Attacks and Defenses for AI;
  4. Jailbreak Attacks and Defenses for Large Models;
  5. The hallucination of Large Language Models;
  6. AIGC Detection and Attribution;
  7. Copyright Issues in AI;
  8. Privacy Issues in AI;
  9. Fairness Issues in AI;
  10. Model Interpretability and its Applications in AI Security.

Dr. Yiming Li
Dr. Xiaojun Jia
Dr. Zhengyu Zhao
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 submissions that pass pre-check are 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. Applied Sciences 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 2400 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

  • trustworthy ML
  • responsible AI
  • LLM safety
  • AI copyright protection
  • fairness and privacy

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Published Papers

This special issue is now open for submission.
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