Track 1: Multimedia and AI Security 多媒体与人工智能安全
Organizers 组织者:
- • Wu Hanzhou, Shanghai University
- • Xia Chao, Beijing Electronic Science & Technology Institute
- • Wu Haorui, University of International Relations
- • He Mingze, Sichuan Police College
- • Ye Jingyu, Digital Guangxi Group Co.
Introduction 论坛简介:
With the rapid development of artificial intelligence, security issues such as deepfakes, adversarial attacks, model infringement, and privacy protection have become increasingly prominent, urgently requiring effective protection mechanisms and detection methods. This track aims to collect research achievements on security in multimedia content generation, processing, recognition, and AI technology applications, covering cutting-edge topics including multimedia forensics, content protection, adversarial attacks and defenses, privacy protection, and AI model security, to promote the trustworthy integration of multimedia and AI technologies. Contributions are welcome.
随着人工智能的快速发展,深度伪造、对抗攻击、模型侵权、隐私保护等安全问题日益突出,亟需有效的防护机制与检测手段。该专题旨在征集多媒体内容生成、处理与识别以及人工智能技术应用过程中的安全研究成果,涵盖多媒体取证、多媒体内容保护、对抗攻击与防御、隐私保护和人工智能模型安全等前沿热点,促进多媒体与人工智能技术的可信融合,欢迎各位专家学者投稿。
Topics 主题范围:
- Multimedia Forensics and Anti-Forensics
多媒体取证与反取证 - Adversarial Attacks and Defenses
对抗攻击与防御 - Deepfake Generation and Detection
深度伪造及检测 - Steganography and Steganalysis
隐写与隐写分析 - Multimedia Watermarking and Model Watermarking
多媒体水印与模型水印 - Data Security and Privacy Protection
数据安全与隐私保护 - AI Model/Algorithm/Application Security
人工智能模型、算法与应用安全