1 基本信息
姓 名：郭尚伟
职 称：副教授 (硕导)
办公地点：主教1830
E-mail：swguo [at] cqu [dot] edu [dot] cn
研究方向：人工智能安全，联邦学习安全,大数据安全，多媒体安全等
个人主页： ,
2 个人简介：
郭尚伟，副教授，硕士生导师。先后在香港浸会大学数据库实验室（合作导师徐建良教授）和新加坡南洋理工大学网络安全实验室（合作导师刘杨教授和张天威教授）从事研究工作。研究方向包括（但不局限于）人工智能安全，联邦学习安全，大数据安全以及多媒体安全等。相关研究成果先后发表于ICLR, ICDE, CVPR, ACM MM, IJCAI, AsiaCCS, AAMAS等国际或领域顶级会议和TIFS, TC, TCSVT, TMM, TSC, TOSN等国际或领域顶级期刊。
目前研究团队博士和硕士研究生人数在18人以上，课题组经费充足，研究团队经常性组织学术及户外活动。在提供国际领先的科研环境的同时也为学生营造良好的生活氛围，请有意者发送CV到我邮箱。本课题组与香港浸会大学，新加坡南洋理工大学，加拿大CIFAR研究院，日本九州大学等研究机构有广泛深入的合作，可推荐优秀毕业生前往著名高校攻读博士学位。
年度招收硕士3名，欢迎计算机，数学，统计等专业学生报考！
快速链接：
3 学术成果
代表性论文：
2022
Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang, NASPY: Automated Extraction of Automated Machine Learning Models, International Conference on Learning Representations (ICLR), 2022, CSL@CQU A类
Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, Chun Fan, BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models, International Conference on Learning Representations (ICLR), 2022, CSL@CQU A类
Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Xiaofeng Liao, EGM: An Efficient Generative Model for Unrestricted Adversarial Examples, ACM Transactions on Sensor Networks, 2022, CCF B类
2021
Shangwei Guo, Tianwei Zhang, Guowen Xu, Han Yu, Tao Xiang, Yang Liu, Topology-aware Differential Privacy for Decentralized Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, CCF B类
Tao Xiang, Ying Yang, Shangwei Guo, Hangcheng Liu, Hantao Liu, PRNet: A Progressive Recovery Network for Revealing Perceptually Encrypted Images, ACM International Conference on Multimedia (ACM MM), October, 2021, CCF A类
Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu, Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models, International Joint Conference on Artificial Intelligence (IJCAI), August, 2021, CCF A类
Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu, Privacy-preserving Collaborative Learning with Automatic Transformation Search (Oral), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2021, CCF A类
Han Qiu, Yi Zeng, Shangwei Guo, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham, DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation, ACM ASIA Conference on Computer and Communications Security (AsiaCCS), June, 2021, CSL@CQU A类
Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu, Stealing Deep Reinforcement Learning Models for Fun and Profit, ACM ASIA Conference on Computer and Communications Security (AsiaCCS), June, 2021, CSL@CQU A类
Kangjie Chen, Shangwei Guo, Tianwei Zhang, Shuxin Li, Yang Liu, Temporal Watermarks for Deep Reinforcement Learning Models, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May, 2021, CCF B类
Xiaoguo Li, Tao Xiang, Shangwei Guo, Hongwei Li, Yi Mu, Privacy-Preserving Reverse Nearest Neighbor Query over Encrypted Spatial Data, IEEE Transactions on Services Computing, 2021, CCF B类
2020
Shangwei Guo, Yang Ji, Ce Zhang, Cheng Xu, Jianliang Xu, vCBIR: A Verifiable Search Engine for Content-Based Image Retrieval, IEEE International Conference on Data Engineering (ICDE)
Lishuang Hu, Tao Xiang, Shangwei Guo, SensIR: Towards Privacy-sensitive Image Retrieval in the Cloud, Signal Processing: Image Communication, 2020, CCF C类
2019
Shangwei Guo, Jianliang Xu, Ce Zhang, Cheng Xu, Tao Xiang, ImageProof: Enabling Authentication for Large-Scale Image Retrieval, IEEE International Conference on Data Engineering (ICDE), April, 2019, CCF A类
Shangwei Guo, Tao Xiang, Xiaoguo Li, Ying Yang, PEID: A Perceptually Encrypted Image Database for Visual Security Evaluation, IEEE Transactions on Information Forensics and Security, 2019, CCF A类
Shangwei Guo, Tao Xiang, Xiaoguo Li, Towards Efficient Privacy-preserving Face Recognition in the Cloud, Signal Processing, 2019, CCF C类
Tao Xiang, Ying Yang, Hangcheng Liu, Shangwei Guo, Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance, IEEE Transactions on Circuits and Systems for Video Technology, 2019, CCF B类
Tao Xiang, Ying Yang, Shangwei Guo, Blind Night-Time Image Quality Assessment: Subjective and Objective Approaches, IEEE Transactions on Multimedia, 2019, CCF B类
2018 and Before
Xiaoguo Li, Tao Xiang, Fei Chen, Shangwei Guo, Efficient Biometric Identity-based Encryption, Information Sciences, 2018, CCF B类
Shangwei Guo, Tao Xiang, Xiaoguo Li, Image Quality Assessment Based on Multiscale Fuzzy Gradient Similarity Deviation, Soft Computing, 2017, CCF C类
Tao Xiang, Xiaoguo Li, Fei Chen, Shangwei Guo, Yuanyuan Yang, Processing Secure, Verifiable and Efficient SQL over Outsourced Database, Information Sciences, 2016, CCF B类
Tao Xiang, Shangwei Guo, Xiaoguo Li, Perceptual Visual Security Index Based on Edge and Texture Similarities, IEEE Transactions on Information Forensics and Security, 2016, CCF A类
4 项目
项目负责人
课题负责人
5 学术服务
会议委员会
Publicity Chair, The 15th International Conference on Knowledge Science, Engineering and Management (KSEM 2022)
Submission Chair, The 23th International Conference on Information and Communications Security (ICICS 2021)
程序委员会委员
AAAI Conference on Artificial Intelligence (AAAI) 2021
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2022
International Workshop on Trustable, Verifiable and Auditable Federated Learning (FL-AAAI) 2022
International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality in Conjunction with IJCAI 2021 (FTL-IJCAI'21)
International Workshop on Mobile Ubiquitous Systems and Technologies (MUST) 2020
客座编辑
Multimedia Tools and Applications, Special Issue on Blockchain-based Multimedia Security. JCR二区, CCF C类
Signal Processing: Image Communication，Special Issue on Multimedia Big Data Privacy and Processing Based on Compressive Sensing. JCR二区, CCF C类
期刊审稿人
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Circuits and Systems for Video Technology
ACM Transactions on Internet Technology
Information Sciences
Neural Networks
EURASIP Journal on Advances in Signal Processing
