3rd Workshop on New Trends in AI-Generated Media and Security (AIMS) @CVPR 2026
Denver, Colorado
June 3rd or 4th, 2026
Workshop Website:
https://sites.google.com/view/aims2026/home
Introduction
Welcome to the “3rd Workshop on New Trends in AI-Generated Media and Security (AIMS 2026).” This event brings together experts, researchers, and enthusiasts from diverse fields to explore the latest advancements and challenges in the world of AI-generated media. As AI continues to revolutionize media creation, its implications for security, ethics, and technology are profound and far-reaching. In this workshop, we delve into the cutting-edge of AI-generated content, encompassing deepfakes, synthetic media, and beyond. Our sessions will cover a range of topics, from the technical aspects of AI media generation and detection to the ethical and societal implications of this rapidly evolving technology.
This event serves as a platform for sharing knowledge, fostering collaborations, and sparking discussions that will shape the future of AI in media and its impact on society. We look forward to engaging debates, insightful presentations, and groundbreaking ideas that will emerge from this gathering. Let’s embark on this journey to navigate and shape the future of AI-generated media and security together. This year, AIMS is collocated with the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026. It is supported by IEEE Technical Community on Multimedia Computing (IEEE TCMC), Incode Technologies Inc, and Machine Intelligence Research (MIR).
Important Dates
Paper submission Deadline:
March 2, 2026 (Pacific Time)
Notification of Acceptance:
March 19, 2026
Author submission site opens:
Monday, March 30, 2026
Camera-ready papers and copyright forms due:
Friday, April 10, 2026
Topics
AI-Generated Media:
Foundation Models, Diffusion Models, Large Multimodal Models (Agents) in Multimedia
Decentralized Foundation Models from Small Data
Media Generation with multimodal Large Language Models
Causal and Mechanistic Explanations of Large Language Models
Visual and Vision-Language Pre-training
AI Reasoning
AI for Social Media
Generative AI for Medical and Well-being
Media Security:
Fake News/Media Detection
Media Forensics and Anti-Forensics
Adversarial Attack and Defense in AI-generated Media
DeepFakes/Misinformation/Disinformation
Media/DNN Watermarking
Reliability for Multimedia Applications and Systems
The Security of Large AI Models
Authenticity in Human-AI Generated Content
Responsible AI for Multimedia
Format
Prospective authors are invited to submit high-quality full papers representing original results. Submissions will follow the CVPR 2026 format. Note that paper submissions must adhere to the CVPR 2026 paper submission style, format, length restrictions, and camera-ready timeline. The CMT online submission site is at https://cmt3.research.microsoft.com/AIMS2026.
The accepted papers will be published as part of the CVPR proceedings and on IEEE Xplore.The best papers will be invited to submit extended versions for consideration in the Springer journal---Machine Intelligence Research (IF 8.7, JCR Q1).
Contact Us
If you are facing any issues or have any queries, you can reach out to us at: m2lab.purdue@gmail.com
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关于Machine Intelligence Research
Machine Intelligence Research（简称MIR，原刊名International Journal of Automation and Computing）由中国科学院自动化研究所主办，于2022年正式出版。MIR立足国内、面向全球，着眼于服务国家战略需求，刊发机器智能领域最新原创研究性论文、综述、评论等，全面报道国际机器智能领域的基础理论和前沿创新研究成果，促进国际学术交流与学科发展，服务国家人工智能科技进步。期刊入选"中国科技期刊卓越行动计划"，已被ESCI、EI、Scopus、中国科技核心期刊、CSCD等20余家国际数据库收录，入选图像图形领域期刊分级目录-T2级知名期刊。2022年首个CiteScore分值在计算机科学、工程、数学三大领域的八个子方向排名均跻身Q1区，最佳排名挺进Top 4%，2023年CiteScore分值继续跻身Q1区。2024年获得首个影响因子(IF) 6.4，位列人工智能及自动化&控制系统两个领域JCR Q1区；2025年发布的最新影响因子达8.7，继续跻身JCR Q1区，最佳排名进入全球第6名；2025年一举进入中科院期刊分区表计算机科学二区。
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