Proposing Real-Life Security Technologies and Strategies for Ensuring the Safety of Generative AI

Students from the AI Security Department at Dongsin University have demonstrated their research competitiveness by winning one Best Paper Award and two Excellent Paper Awards at an international conference held in Japan.


According to Dongsin University on July 14, these students, who are also members of the Signature Project Center Global Convergence Club under the Anchor Business Group, recently participated in the '2026 International Conference on Future Information & Communication Engineering (ICFICE 2026)' held in Sapporo, Japan. At the conference, they presented their research achievements in the fields of AI and information security, earning one Best Paper Award and two Excellent Paper Awards.

Dongshin University AI Security Department won one Best Paper Award and two Excellent Paper Awards at the International Conference. Provided by Dongshin University

Dongshin University AI Security Department won one Best Paper Award and two Excellent Paper Awards at the International Conference. Provided by Dongshin University

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ICFICE is a prestigious international academic conference where the latest research results in future information and communications as well as AI are shared. Researchers from around the world participate and present their advanced technologies and research outcomes. At this event, Dongsin University students were recognized for their excellent presentations on solving problems from local communities and industries using AI and information security technologies. Their suggestions for real-life applicable security technologies and strategies to ensure the safety of generative AI, in particular, were highly evaluated, showcasing strong global research capabilities and international cooperation potential.


The Best Paper Award was given for the paper titled "Design of a Lightweight PDF-Based Personal Information Detection System and Comparative Study of Deep Learning-Based Techniques" by Taewoo Kim (3rd year, AI Security), Hansem Jang (2nd year, AI Security), and supervised by Professor Donghui Lee. Their proposal of a lightweight personal information detection system aimed at preventing leakage of personal information through residual files on public PCs, along with a comparative analysis of deep learning-based detection technology to verify its practicability and field applicability, received high praise.


An Excellent Paper Award was presented for the paper "Comparative Analysis of Policy Evasion Success Rates of Prompt Injection Attacks Based on Single-Language·Bilingual Semantic Repetition Prompts" by Seungbin Han (1st year, AI Security), supervised by Professor Jongmin Kim. The study was highlighted for analyzing the policy evasion possibility of prompt injection attacks targeting generative AI, providing future directions for AI security response technologies.


The other Excellent Paper Award was given to the paper "Chunk-Based Selective Filtering and Sentence-Level Refinement Strategies for Personal Information Leakage Prevention" by Taeho Oh (3rd year, AI Security), supervised by Professor Minsu Kim. The research was recognized for its originality by proposing a novel defense technique that effectively blocks personal information leakage caused by indirect prompt injection attacks.


During the international conference, the students further enhanced their global research competencies by not only presenting their research, but also engaging in academic exchanges with international researchers, staying up-to-date on the latest AI security trends, and building international joint research networks.



Donghui Lee, professor at the AI Security Department of Dongsin University and the head of the Signature Project Center, stated, "We are actively supporting our students to strengthen their expertise and perform on a global stage, and with this recognition of their research achievements internationally, they have gained confidence and reached a new level as researchers." He added, "This achievement is especially meaningful because it is not just about winning awards, but about students directly identifying problems in the region and industry and carrying out practical research to solve them using AI technology."


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