Wenbo Zhou |
University of Science and Technology of China (USTC)
Postdocral Researcher in School of Cyberspace Security (July 2019 - Present)
Ph.D in Dept. Electronic Engineering and Information Science (September 2014 - June 2019)
Research Intern in City Brain Lab (August 2018 - April 2019)
Nanjing University of Aeronnautics and Astronautics (NUAA)
B.S. in College of Electronic and Information Engineering (September 2010 - June 2014)
DeepFake - Forgery & Detection
AI Security - Adversarial Attack & Defense
Information Hiding - Steganography & Steganalysis
Hanqing Zhao, Wenbo Zhou*, Dongdong Chen, Tianyi Wei, Weiming Zhang*, and Nenghai Yu. Multi-Attentional Deepfake Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021). [PDF]
Honggu Liu, Xiaodan Li, Wenbo Zhou*, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang*, and Nenghai Yu. Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021). [PDF]
Tianyi Wei, Dongdong Chen*, Wenbo Zhou*, Jing Liao, Hanqing Zhao, Weiming Zhang, and Nenghai Yu. Improved Image Matting via Real-time User Clicks and Uncertainty Estimation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021). [PDF]
Qidong Huang#, Jie Zhang#, Wenbo Zhou*, Weiming Zhang*, and Nenghai Yu. Initiative Defense against Facial Manipulation. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021). [PDF]
Jiaying Lin, Wenbo Zhou*, Honggu Liu, Hang Zhou, Weiming Zhang*, and Nenghai Yu. Lip Forgery Video Detection via Multi-phoneme Selection. 2021 International Workshop on Safety & Secruity of Deep Learning (SSDL 2021). [PDF]
Han Fang, Dongdong Chen, Feng Wang, Zehua Ma, Honggu Liu, Wenbo Zhou, Weiming Zhang*, and Nenghai Yu. TERA: Screen-to-Camera Image Code with Transparency, Efficiency, Robustness and Adaptability. In IEEE Trans. on Multimedia (TMM), 2021. [PDF]
Li Li, Weiming Zhang, Chuan Qin, Kejiang Chen, Wenbo Zhou, and Nenghai Yu. Adversarial batch image steganography against CNN-based pooled steganalysis. Signal Processing, 2020.[PDF]
Jie Zhang, Dongdong Chen*, Jing Liao, Han Fang, Weiming Zhang Wenbo Zhou, Hao Cui, and Nenghai Yu. Model Watermarking for Image Processing Networks. The Thirty-Fourth AAAI Conference on Aritificial Intelligence (AAAI 2020).[PDF]
Weixiang Li#, Wenbo Zhou#, Weiming Zhang*, Chuan Qin, Huanhuan Hu, and Nenghai Yu. Shortening the Cover for Fast JPEG Steganography. In IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2020.> [PDF]
Kejiang Chen, Hang Zhou, Wenbo Zhou, Weiming Zhang*, and Nenghai Yu. Defining Cost Functions for Adaptive JPEG Steganography at the Microscale. In IEEE Transactions on Information Forensics and Security (TIFS), 2018.[PDF]
Hang Zhou, Kejiang Chen, Weiming Zhang* Han Fang Wenbo Zhou, and Nenghai Yu. DUP-Net:Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense. International Conference on Computer Vision (ICCV 2019).[PDF]
Chuan Qin, Wenbo Zhou, Weiming Zhang*, and Nenghai Yu. Ensemble Steganography. IEEE International Conference on Data Science in Cyberspace (DSC), 2018.[PDF]
Wenbo Zhou, Weixiang Li, Kejiang Chen, Hang Zhou, Weiming Zhang*, and Nenghai Yu. Controversial “Pixel” Prior Rule for JPEG Adaptive Steganography. In IET Image Processing, 2018.[PDF]
Weixiang Li, Weiming Zhang*, Kejiang Chen, Wenbo Zhou, and Nenghai Yu. Defining Joint Distortion for JPEG Steganography. ACM Workshop on Information Hiding and Multimedia Security, 2018 (Best Student Paper Award).[PDF]
Wenbo Zhou, Weiming Zhang*, and Nenghai Yu. A New Rule for Cost Reassignment in Adaptive Steganography. In IEEE Trans. on Information Forensic and Security (TIFS), 2017.[PDF]
Wenbo Zhou, Weiming Zhang*, and Nenghai Yu. Evolving Distortion Function by Exploiting the Differences Among Comparable Adaptive Steganography. International Conference on Natural Computation, Fuzzy System and Knowledge Discovery (ICNC-FSKD), 2016. [PDF]
国家自然科学基金, 青年项目, No.62002334, 《面向多元化数据场景的自适应隐写失真函数演化方法研究》, 2021.01-2024.12, 主持
安徽省自然科学基金, 青年项目, 2008085QF296, 《面向生成式载体数据的场景化隐写方法研究》, 2020.07-2022.06, 主持
高技术项目, 《基于特定场景的视频塑造及检测方法》, 2019.09-2021.12, 主持
地方项目, 《对抗样本防御与人脸伪造检测方法研究》, 2019.11-2020.04, 主持
中国科学技术大学青年创新基金, 《人脸伪造与伪造检测方法研究》, 2020.01-2021.12, 主持
国家自然科学基金, 企业创新发展联合重点项目, No.U20B2047, 《针对深度学习模型的攻防分析基础理论与关键技术研究》, 2021.01-2024.12, 参与
中国科学技术大学探索类基金, 《深度学习模型攻防机理与方法研究》, 2019.11-2021.10, 参与
Academic Service:
Committee member of Digital Media Forensics and Security Committee for China Society of Image and Graphics
Leader of Youth Working Group of Digital Media Forensics and Security Committee
Others:
PC member: AAAI 2020, AAAI 2021
Reviewer: CVPR 2020, CVPR 2021, ICCV 2021, IEEE Signal Processing Letters, Journal of Visual Communication and Image Representation
“Outstanding Youth Award of Mozi” of USTC
2nd Prize of Kaggle Deepfake Detection Challenge (DFDC)
1st Prize in defence track of IJCAI-19 Alibaba Adversarial AI Challenge
2nd Prize in non-target attack track of 2018 Competition on Adversarial Attacks and Defences (CAAD)
2021 International Workshop on Safety & Security of Deep Learning, "Best Paper Award", 2021.
2018 ACM Workshop on Information Hiding and Multimedia Security, "Best Student Paper Award", 2018.
Outstanding Graduate of University of Science and Technology of China, 2019
Excellent Graduates of Anhui Province Ordinary Colleges and Universities, 2019
Cyber Security Scholarship of China Internet Development Foundation Cyber Security Special Fund, 2017
Bronze Prize of the 3rd "Internet +" National College Student Innovation and Entrepreneurship Competition, 2017
Outstanding Party Member of University of Science and Technology of China, 2016
National Scholarship, 2012
Outstanding Student Cadre of Jiangsu Province, 2012
Outstanding Student Cadre of Jiangsu Province, 2012
Annual Special Award of NUAA, 2012&2013
Wenbo Zhou
University of Science and Technology of China (USTC)
Hefei 230026, China
1710, West Tower of Technology Buildings, West Campus of USTC