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AI最前沿 | 特约专题: 生成式人工智能的安全与伦理

已有 468 次阅读 2026-8-5 17:27 |个人分类:期刊目录|系统分类:论文交流

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MIR第4期专题"Security and Ethics of Generative Artificial Intelligence"已于8月正式出版,12篇特约好文,欢迎阅读!

Special Issue  Vol. 23, No.4

专题客座编委:

董晶, 中国科学院自动化研究所, 中国

Matteo Ferrara, University of Bologna, Italy

赫然, 中国科学院自动化研究所, 中国

Tao Dacheng, Nanyang Technological University, Singapore

Philip H. S. Torr, University of Oxford, UK

Rama Chellappa, Johns Hopkins University, USA

专题 · Editorial

Editorial for Special Issue on Security and Ethics of Generative Artificial Intelligence

Jing Dong, Matteo Ferrara, Ran He, Dacheng Tao, Philip H. S. Torr & Rama Chellappa

https://link.springer.com/article/10.1007/s11633-026-1677-2

https://www.mi-research.net/article/doi/10.1007/s11633-026-1677-2

专题 · 综述

Embodied Intelligence Security with Vision-language Models: A Survey

Junxian Duan, Haisu Zhu, Canhui Liu, Shiyi Li, Xiangyun Tang & Yingxue Wang

https://link.springer.com/article/10.1007/s11633-025-1626-x

https://www.mi-research.net/article/doi/10.1007/s11633-025-1626-x

专题 · 研究论文

The Latent Seal: Robust Model Watermarking for Latent Diffusion Model

Qin Zhao, Tong Liu, Xiaochen Yuan, Guoheng Huang, Xueyuan Gong & Wei Wang

https://link.springer.com/article/10.1007/s11633-025-1620-y

https://www.mi-research.net/article/doi/10.1007/s11633-025-1620-y

专题 · 研究论文

GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model

Runyi Li, Xuanyu Zhang, Chuhan Tong, Zhipei Xu & Jian Zhang

https://link.springer.com/article/10.1007/s11633-025-1588-7

https://www.mi-research.net/article/doi/10.1007/s11633-025-1588-7

专题 · 研究论文

T2IW: Joint Text to Image & Watermark Generation

Guokai Zhang, Yuting Su, Lanjun Wang, Guochang Liu, Dan Song & An-An Liu

https://link.springer.com/article/10.1007/s11633-025-1606-9

https://www.mi-research.net/article/doi/10.1007/s11633-025-1606-9

专题 · 研究论文

Visual Adversarial Attack on Vision-language Models for Autonomous Driving

Tianyuan Zhang, Lu Wang, Xinwei Zhang, Yitong Zhang, Boyi Jia, Siyuan Liang, Shengshan Hu, Qiang Fu, Aishan Liu & Xianglong Liu

https://link.springer.com/article/10.1007/s11633-026-1667-4

https://www.mi-research.net/article/doi/10.1007/s11633-026-1667-4

专题 · 研究论文

Adversarial Patches in 3D: A Stealth Threat to Monocular Depth Estimation

Meng Pan, Yunshu Dai, Jianhuang Lai & Xiaohua Xie

https://link.springer.com/article/10.1007/s11633-025-1617-6

https://www.mi-research.net/article/doi/10.1007/s11633-025-1617-6

专题 · 研究论文

GTCP: A General Traces Compensation Purifier for Enhancing the Adversarial Robustness of Deepfake Detection

Yu Chen, Yang Yu, Rui Zhai, Rongrong Ni, Haoliang Li, Wei Wang & Yao Zhao

https://link.springer.com/article/10.1007/s11633-025-1616-7

https://www.mi-research.net/article/doi/10.1007/s11633-025-1616-7

专题 · 研究论文

Towards Understanding the Cognitive Habits of Large Reasoning Models

Jianshuo Dong, Yujia Fu, Chuanrui Hu, Chao Zhang & Han Qiu

https://link.springer.com/article/10.1007/s11633-026-1654-9

https://www.mi-research.net/article/doi/10.1007/s11633-026-1654-9

专题 · 研究论文

Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing

Zehao Wang & Lanjun Wang

https://link.springer.com/article/10.1007/s11633-025-1602-0

https://www.mi-research.net/article/doi/10.1007/s11633-025-1602-0

专题 · 研究论文

Reformulation is All You Need: Addressing Malicious Textual Features in DNNs

Yi Jiang, Oubo Ma, Yong Yang, Tong Zhang & Shouling Ji

https://link.springer.com/article/10.1007/s11633-025-1594-9

https://www.mi-research.net/article/doi/10.1007/s11633-025-1594-9

专题 · 研究论文

Countering Adversarial Attacks with Multimodal Image Fusion

Dong Yu, Chunjie Zhang, Xiaoyu Zhang, Gaopeng Zhang & Yao Zhao

https://link.springer.com/article/10.1007/s11633-025-1613-x

https://www.mi-research.net/article/doi/10.1007/s11633-025-1613-x

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关于Machine Intelligence Research

Machine Intelligence Research(简称MIR)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;2026年发布的最新影响因子达10.0,继续跻身JCR Q1区,最佳排名进入全球第5名;2026年进入期刊分区表1区,最新CiteScore分值达17.8。



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