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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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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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