|
个人信息Personal Information
主要任职:副教授
其他联系方式Other Contact Information
邮箱 :
个人简介Personal Profile
姜文博目前是电子科技大学计算机科学与工程学院(网络空间安全学院)副教授。教育经历方面,本、硕、博均毕业于电子科技大学计算机科学与工程学院网络空间安全专业,硕士和博士期间导师为教育部“长江学者奖励计划”特聘教授、IEEE Fellow李洪伟教授。2021年至2022年间受国家留学基金委资助,前往新加坡南洋理工大学进行联合培养,联合培养期间导师为Tianwei Zhang教授。
学术研究方面,近年来一直从事人工智能安全相关研究,在国内外顶尖期刊和会议上发表了50余篇人工智能安全相关的学术论文,其中CCF-A类论文18篇,包括计算机安全领域顶级会议CCS、USENIX Security,人工智能领域顶级会议CVPR、ICML、NeurIPS、AAAI,计算机安全领域顶级期刊 TDSC、TIFS等。
科研项目方面,主持国家青年自然科学基金项目、国家博新计划、中国博士后面上基金、四川省青年自然科学基金、国家重点研发计划子课题等多项科研项目;参与主研国家重点研发计划,国家自然科学基金重点等多项科研项目。
学术获奖方面,博后期间入选国家2023年博士后创新人才支持计划,以通信作者身份发表的论文获得计算机安全领域顶级会议CCS2025的杰出论文奖(Distinguished Paper Award),获得2025国际大学生创新大赛省级金奖及银奖(指导教师),获2019年国家网络安全奖学金,获Distinguished reviewer of TIOT等奖项。
学术服务方面,担任Electronics期刊(JCR-Q2)的客座编辑; 担任多个顶级会议的领域主席/高级会议程序委员,包括ICLR(CCF-A)、IJCAI(CCF-B)、ICASSP(CCF-B)、IJCNN(CCF-C)、BMCV(CCF-C)等; 还担任了多个国际会议的workshop主席,包括DLNN 2025、IEEE ICAIM 2026、MICCIS 2026、IEEE PRMVAI 2026等;还担任多个顶会顶刊的审稿人,包括TIFS、TDSC、CVPR、ICML、NeurIPS、KDD等。
更多信息参见个人主页:https://wenbo-jiang.github.io/
科研项目
1. 国家博士后创新计划“博新计划”,64万,2024.01至 2025.12,主持
2. 国家青年科学基金项目(C类), 30万,2025.01至 2027.12,主持
3. 中国博士后面上项目, 8万,2025.01至 2026.12,主持
4. 四川省青年科学基金项目, 10万,2025.01至 2026.12,主持
5.国家重点研发计划子课题,智能机器人信息安全防护技术,48万,2025-01 至 2028.12,子课题负责人
6. 国家电网横向项目,敏感数据泄露行为感知技术有效性分析,35.5万,2026-01 至 2026.12, 主持
科研成果获奖
1. 论文通讯作者身份获2025 ACM SIGSAC Conference on Computer and Communications Security (CCS) Distinguished Paper Award (计算机安全领域四大顶级会议之一)
2. 入选2023年国家博新计划资助(全国仅500人入选)
3. 获得2025年国际大学生创新大赛省级金奖及银奖(指导教师)
4. 2019年获中国互联网发展基金会颁发的国家网络安全奖学金
5. 2023年获四川省优秀毕业生、电子科技大学优秀博士后、电子科技大学学术新秀、电子科技大学优秀毕业生、电子科技大学优秀博士论文
社会兼职
1. 客座编辑:Electronics (Special issue: Security and Privacy for AI)
2. 会议领域主席/高级会议程序委员:ICLR 2026(CCF-A),IJCAI 2026(CCF-B) ,ICASSP 2026 (CCF-B),IJCNN 2025 (CCF-C),BMCV 2025 (CCF-C)
3. 会议workshop主席:DLNN 2025, IEEE ICAIM 2026, MICCIS 2026, IEEE PRMVAI 2026
4. 会议审稿人/会议程序委员:ICML, KDD, ICCV, CVPR, ICLR, NeurIPS等
5. 期刊审稿人:TIFS, TDSC, TCSVT, TNNLS, TAI, TVT等
部分代表性论文
[1] Wenbo Jiang, Hongwei Li, Jiaming He, Rui Zhang, Guowen Xu, Tianwei Zhang, Rongxing Lu. I2I Backdoor: Backdoor Attacks against Image-to-Image Tasks. IEEE Transactions on Dependable and Secure Computing(TDSC), 2025. (计算机安全领域顶级期刊,CCF-A)
[2] Wenbo Jiang, Hongwei Li, Guowen Xu, Tianwei Zhang, "Color backdoor: a robust poisoning attack in color space", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June, 2023 (计算机视觉领域顶会,CCF-A)
[3] Wenbo Jiang, Hongwei Li, Guowen Xu, Hao Ren, Haomiao Yang, Tianwei Zhang, Shui Yu, “Rethinking the Design of Backdoor Triggers and Adversarial Perturbations: A Color Space Perspective” in IEEE Transactions on Dependable and Secure Computing, 2024(计算机安全领域顶级期刊,CCF-A)
[4] Wenbo Jiang, Hongwei Li, Guowen Xu, Tianwei Zhang and Rongxing Lu, "A comprehensive defense framework against model extraction attacks", in IEEE Transactions on Dependable and Secure Computing (TDSC), 2023(计算机安全领域顶级期刊,CCF-A)
[5] Wenbo Jiang, Tianwei Zhang, Han Qiu, Hongwei Li and Guowen Xu,"Incremental learning, incremental backdoor threats", in IEEE Transactions on Dependable and Secure Computing (TDSC), 2022. (计算机安全领域顶级期刊,CCF-A)
[6] Wenshu Fan, Minxing Zhang, Hongwei Li, Wenbo Jiang*, Hanxiao Chen, Xiangyu Yue, Michael Backes, Xiao Zhang, “DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy”, in Proceedings of ACM SIGSAC Conference on Computer and Communications Security (CCS), 2025(计算机安全领域顶级会议,CCF-A)
[7] Jiaming He, Wenbo Jiang*, Guanyu Hou, Wenshu Fan, Rui Zhang and Hongwei Li. " Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models." Proceedings of the AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025. (人工智能领域顶级会议,CCF-A)
[8] Wenshu Fan, Hongwei Li, Wenbo Jiang*, Meng Hao, Shui Yu, Xiao Zhang, "Stealthy Targeted Backdoor Attacks against Image Captioning", IEEE Transactions on Information Forensics and Security, vol. 19, pp. 5655-5667, 2024, doi: 10.1109/TIFS.2024.3402179. (计算机安全领域顶级期刊,CCF-A)
[9] Jiaming He, Guanyu Hou, Hongwei Li, Zhicong Huang, Kangjie Chen, Yi Yu, Wenbo Jiang*, Hongwei Li, Guowen Xu, Tianwei Zhang, "TEAR: Temporal-aware Automated Red-teaming for Text-to-Video Models", Conference on Computer Vision and Pattern Recognition (CVPR), 2026(计算机视觉领域顶会,CCF-A)
[10] Qiyang Song, Qihang Zhou, Xiaoqi Jia, Zhenyu Song, Wenbo Jiang, Heqing Huang, Yong Liu, Dan Meng. vCause: Efficient and Verifiable Causality Analysis for Cloud-based Endpoint Auditing. The 35th USENIX Security Symposium, 2026(计算机安全领域顶级会议,CCF-A)
[11] Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, et al. " Instruction backdoor attacks against customized LLMs", USENIX Security 2024(计算机安全领域顶级会议,CCF-A)
[12] Rui Zhang, Yun Shen, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Yuan Zhang, Guowen Xu, Yang Zhang. The Ripple Effect: On Unforeseen Complications of Backdoor Attacks. International Conference on Machine Learning (ICML), 2025.(人工智能领域顶级会议,CCF-A)
[13] Shuai Yuan, Hongwei Li, Rui Zhang, Hangcheng Cao, Wenbo Jiang, Tao Ni, Wenshu Fan, Qingchuan Zhao, Guowen Xu. Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition. International Conference on Machine Learning (ICML), 2025. (人工智能领域顶级会议,CCF-A)
[14] Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang. The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning. IEEE Transactions on Information Forensics and Security (TIFS), 2025. (计算机安全领域顶级期刊,CCF-A)
[15] Shuai Yuan, Xingshuo Han, Hongwei Li, Guowen Xu, Wenbo Jiang, Tao Ni, Qingchuan Zhao, Yuguang Fang. The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition. The Thirty-Ninth Annual Conference on Neural Information Processing Systems, 2025. (人工智能领域顶级会议,CCF-A)
[16] Zihan Wang, Rui Zhang, Yu Liu, Wenshu Fan, Wenbo Jiang, Qingchuan Zhao, Hongwei Li, Guowen Xu*. MPMA: Preference Manipulation Attack Against Model Context Protocol. The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.(人工智能领域顶级会议,CCF-A)
[17] Zihan Wang, Rui Zhang, Hongwei Li, Wenshu Fan, Wenbo Jiang, Qingchuan Zhao, Guowen Xu*. ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models. The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.(人工智能领域顶级会议,CCF-A)
[18] Hanxiao Chen, Hongwei Li, Meng Hao, Pengzhi Xing, Jia Hu, Wenbo Jiang, Tianwei Zhang, and Guowen Xu. Conan: Secure and Reliable Machine Learning Inference against Malicious Service Providers. IEEE Transactions on Information Forensics and Security (TIFS), 2025. (计算机安全领域顶级期刊,CCF-A)
[19] Xin Liu, Qiyang Song, Qihang Zhou, Haichao Du, Shaowen Xu, Wenbo Jiang, Weijuan Zhang, Xiaoqi Jia. Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models. The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026(人工智能领域顶级会议,CCF-A)
其他论文成果参见 https://scholar.google.com/citations?user=OjHzvJkAAAAJ
