2025 2nd International Conference on Generative Artificial Intelligence and Information Security
GAIIS 2025
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The 2nd International Academic Conference on Generative Artificial Intelligence and Information Security (GAIIS 2025) was successfully held online on February 22, 2025. This conference focused on the latest advancements in generative artificial intelligence technology and its applications and challenges in the field of information security, attracting nearly one hundred experts and scholars from universities, research institutions, and industry worldwide. By utilizing a cloud-based platform, the conference overcame geographical limitations and provided an efficient academic exchange opportunity for researchers around the globe.

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Keynote Speeches

The conference was honored to have Prof. Lei Zhang from Chongqing University, Prof. Chuan Qin  from the University of Shanghai for Science and Technology, Prof. Azlan Mohd Zain from Universiti Teknologi Malaysia, and Prof. Liang Hu from Tongji University deliver keynote speeches. The conference was hosted by Assoc. Prof. Lei Chen from Shandong University.

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Prof. Lei Zhang, Chongqing University

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Prof. Chuan Qin, University of Shanghai for Science and Technology

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Prof. Liang Hu, Tongji University

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Prof. Azlan Mohd Zain, Universiti Teknologi Malaysia, Malaysia


Workshop: The Current State, Development Trends, and Application Prospects of Large Models - An Exploration Based on DeepSeek

Amid the wave of a global technological revolution sparked by generative artificial intelligence, large models are reshaping the future landscape of countless industries with disruptive power. As a pioneering explorer in this field, DeepSeek continuously pushes the boundaries of technology through ongoing innovation, driving large models from theoretical breakthroughs to industrial implementation, while also forging new paths in critical issues such as security, ethics, and value alignment. This conference also featured an online roundtable discussion that incorporated DeepSeek’s cutting-edge practical cases, revealing the challenges and applications of large models.

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Oral Presentations

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