Recent Advances in Security and Privacy Protection for Large Language Models
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 17
Special Issue Editors
Interests: AI security; privacy computing
Special Issues, Collections and Topics in MDPI journals
Interests: AI security; IoT security; network security
Special Issues, Collections and Topics in MDPI journals
Interests: communication network; network security; machine learning system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of artificial intelligence (AI) technology, large language models (LLMs) are marking a pivotal shift in the digital landscape. These LLMs demonstrate exceptional capabilities in natural language processing, intelligent interaction, and knowledge reasoning, profoundly changing our lifestyles and having a disruptive impact on various industries. However, as the application scenarios of LLMs expand, significant challenges related to security, privacy, fairness, robustness, and interpretability are becoming increasingly prominent. These challenges not only concern technological innovation but also the construction of social trust systems. This Special Issue focuses on the cutting-edge areas of LLM security and privacy protection research, aiming to build an interdisciplinary, multi-perspective academic platform. This Special Issue focuses on topics including, but not limited to, LLM jailbreak attacks and defense, LLM privacy-preserving training, LLM fairness assessment, and LLM interpretability research. We also welcome studies on the industrial application practices of these technologies in key areas such as Internet of Things (IoT), healthcare, and finance.
We invite you to share your latest findings, including but not limited to fundamental theoretical research, algorithmic innovations, system implementations, and industry application cases. This Special Issue aims to provide theoretical support and technical solutions for building a secure, trustworthy, and responsible artificial intelligence ecosystem. It promotes the healthy and sustainable development of artificial intelligence.
Dr. Xi Lin
Prof. Dr. Jun Wu
Dr. Qiaolun Zhang
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 250 words) can be sent to the Editorial Office for assessment.
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
- jailbreak attacks and defense
- AI agent security
- LLM privacy-preserving method
- AI fairness
- LLM hallucination mitigation
- the explainability of AIGC
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
