
卢伟
教授
联系邮箱: luwei3@mail.sysu.edu.cn
联系地址: 东校区北学院楼A303
教师简介:
基本情况:
卢伟,男,博士,教授,博士生导师,籍贯河南
jbo竞博电竞官方网站人工智能研究院 副院长
jbo竞博电竞官方网站网络空间安全研究所 所长
信息技术教育部重点实验室 主任
入选国家网信办国家级创新人才计划
教育经历:
2002年7月毕业于东北大学自动化专业,获工学学士学位;
2005年3月毕业于上海交通大学计算机软件与理论专业,获工学硕士学位;
2007年4月毕业于上海交通大学计算机软件与理论专业,获工学博士学位;
2005年至2006年于香港理工大学计算学系担任助理研究员;
Email:luwei3@mail.sysu.edu.cn
主要合作/招聘方向:
(1)博士后研究员:主要方向:AI安全与对抗、开源情报分析,大数据安全、数字媒体安全、数字取证、信息隐藏。
(2)特聘研究员:岗位工作要求:1)以本研究组为基础,开展研究工作;2)协助研究组开展科研、培养学生和项目申请。
主要研究生招生专业:
博士生:计算机科学与技术,有意向请提前联系,欢迎优秀本科生直博
学术型硕士: 计算机科学与技术
工程型硕士: 电子信息、计算机技术、网络空间安全、软件工程
欢迎计算机、电子、自动化、数学、物理、信息等相关专业的同学报读、欢迎本科生提前进入实验室研习。
研究生主要就业方向:
2023届:阿里巴巴,广州期货交易所
2022届:阿里巴巴,腾讯,微信
2021届:腾讯,微信,字节跳动,bigo,网易,深圳海关
2011-2020届:阿里,腾讯,华为,蚂蚁,网易,易方达,招商证券,海关,公务员等
主要研究方向包括:
人工智能安全与对抗、人工智能生成内容(AIGC)鉴伪与安全、视觉/听觉内容安全与对抗、开源情报分析与对抗;
跨媒体虚假信息检测与溯源、数字取证、deepfake检测;
跨媒体隐蔽通信、信息隐藏、隐写与隐写分析、数字水印;
学术奖励:
上海市科学技术奖(自然科学奖)二等奖;
广东省科技成果推广奖一等奖
中华人民共和国司法行政行业标准:
《数字图像元数据检验技术规范》(标准号:SF/T 0078—2020)
《人像鉴定中人脸识别技术应用规范》(标准号:SF/T 0106—2021)
《合成人脸图像鉴定技术规范》(标准号:SF/T 0148—2023)
主要学术任职:
中国图象图形学学会数字媒体取证与安全专委会委员
中国图象图形学学会交通视频专委会委员
中国人工智能学会人工智能与安全专委会委员
Associate Editors
Signal Processing(中科院升级版1区top)
Journal of Visual Communication and Image Representation
International Journal of Digital Crime and Forensics
近年开设课程:
高级网络与信息安全(研究生),统计机器学习(研究生),信息安全数学基础(组合数学与数论),信号与系统,通信原理,模式识别,人工智能,密码学与网络安全
近年所承担的主要科研项目:
国家自然科学基金重点项目,“视频感知及篡改取证理论与方法研究”
国家自然科学基金,“JPEG图像篡改取证理论与方法研究”
国家自然科学基金通用联合基金,“实用型图像信息隐藏理论与方法研究”
国家自然科学基金,“基于模式识别技术的数字图像盲取证研究”
国家重点研发计划课题
国家重点研发计划课题
国家前沿创新计划项目
广东省重点领域研发计划,“面向政务大数据应用的隐私保护与对抗关键技术和系统研究”
广东省自然科学基金,“数字图像篡改检测理论与方法研究”
广东省科技计划,
广州市科学研究计划重点项目,“面向大数据的数字视像取证关键技术与系统研究”
科技成果转换计划,“数字声像资料鉴别分析系统云平台研发”
Lu, Wei Ph.D., Professor
School of Computer Science and Engineering
Sun Yat-sen University,
Guangzhou 510006, China
E-mail: luwei3@mail.sysu.edu.cn
Education:
Ph.D. Computer Science Shanghai Jiao Tong University, China 2007
Master Computer Science Shanghai Jiao Tong University, China 2005
Bachelor Automation Northeast University, China 2002
Research Interests:
Multimedia security, data hiding, digital forensics
Image/Video intelligent analysis, computer vision, deep learning
Big data security, privacy protection
Honors:
The second prize of Shanghai Natural Science Award, 2010
Professional Activities:
Associate Editors
Signal Processing
Journal of Visual Communication and Image Representation
International Journal of Digital Crime and Forensics
Selected Papers(2016-now):
[31] Junyan Wu, Wei Lu, Xiangyang Luo, Rui Yang, Qian Wang, Xiaochun Cao, "Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization", ACM MM.
[30] Junyan Wu, Qilin Yin, Ziqi Sheng, Wei Lu, Jiwu Huang, Bin Li, "Audio Multi-view Spoofing Detection Framework Based on Audio-Text-Emotion Correlations", IEEE Transactions on Information Forensics & Security.
[29] Qilin Yin, Wei Lu, Xiaochun Cao, Xiangyang Luo, Yicong Zhou, Jiwu Huang,"Fine-grained Multimodal DeepFake Classification via Heterogeneous Graphs", International Journal of Computer Vision.
[28] Zuomin Qu, Zuping Xi, Wei Lu, Xiangyang Luo, Qian Wang, Bin Li, "DF-RAP: A Robust Adversarial Perturbation for Defending Against Deepfakes in Real-World Social Network Scenarios", IEEE Transactions on Information Forensics & Security.
[27] Chuntao Zhu, Bolin Zhang, Qilin Yin, Chengxi Yin, Wei Lu, "Deepfake detection via inter-frame inconsistency recomposition and enhancement", Pattern Recognition.
[26] Qilin Yin, Wei Lu, Bin Li, Jiwu Huang, "Dynamic Difference Learning with Spatio-temporal Correlation for Deepfake Video Detection", IEEE Transactions on Information Forensics & Security.
[25] Xiaolin Yin, Shaowu Wu, Ke Wang, Wei Lu, Yicong Zhou, Jiwu Huang, "Anti-rounding Image Steganography with Separable Fine-tuned Network", IEEE Transactions on Circuits and Systems for Video Technology.
[24] Wei Lu, Lingyi Liu, Bolin Zhang, Junwei Luo, Xianfeng Zhao, Yicong Zhou, Jiwu Huang, “Detection of Deepfake Videos Using Long Distance Attention”, IEEE Transactions on Neural Networks and Learning Systems.
[23] Wei Lu, Wenbo Xu, Ziqi Sheng, “An Interpretable Image Tampering Detection Approach based on Cooperative Game”, IEEE Transactions on Circuits and Systems for Video Technology.
[22] Wei Lu, Qin Zhang, Shangjun Luo, Yicong Zhou, Jiwu Huang, Yun-Qing Shi, “Robust Estimation of Upscaling Factor on Double JPEG Compressed Images”, IEEE Transactions on Cybernetics.
[21] Jiarui Liu, Kaiman Zhu, Wei Lu, Xiangyang Luo, Xianfeng Zhao, “A Lightweight 3D Convolutional Neural Network for DeepFake Detection", International Journal of Intelligent Systems.
[20] Xiaolin Yin, Wei Lu, Wanteng Liu, Jing-Ming Guo, Jiwu Huang, Yun-Qing Shi, “Reversible Data Hiding in Halftone Images Based on Dynamic Embedding States Group”, IEEE Transactions on Circuits and Systems for Video Technology, 2020.
[19] Wei Lu, Junhong Zhang, Xianfeng Zhao, Weiming Zhang, Jiwu Huang, “Secure Robust JPEG Steganography based on AutoEncoder with Adaptive BCH Encoding”, IEEE Transactions on Circuits and Systems for Video Technology,2020.
[18] Wei Lu, Junjia Chen, Junhong Zhang, Jiwu Huang, Jian Weng, Yicong Zhou, “Secure Halftone Image Steganography Based on Feature Space and Layer Embedding”, IEEE Transactions on Cybernetics, 2020.
[17] Bing Chen, Wei Lu, Jiwu Huang, Jian Weng, Yicong Zhou, “Secret sharing based reversible data hiding in encrypted images with multiple data-hiders”, IEEE Transactions on Dependable and Secure Computing, 2020.
[16] Xianjin Liu, Wei Lu, Qin Zhang, Jiwu Huang, Yun-Qing Shi, “Downscaling Factor Estimation on Pre-JPEG Compressed Images”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 3, March 2020, pp. 618-631.
[15] Xiaolin Yin, Wei Lu, Junhong Zhang, Wanteng Liu, “Reversible Data Hiding in Halftone Images Based on Minimizing the Visual Distortion of Pixels Flipping”, Signal Processing, vol. 173, 2020, pp. 107605.
[14] Xiaolin Yin, Wei Lu, Junhong Zhang, Jianfei Chen, Wanteng Liu, “Reversible Data Hiding in Binary Images by Flipping Pattern Pair with Opposite Center Pixel”, Journal of Visual Communication and Image Representation, 2020.
[13] Lingwen Zeng, Wei Lu, Wanteng Liu, Junjia Chen, “Deep Residual Network for Halftone Image Steganalysis with Stego-signal Diffusion”, Signal Processing, vol. 172, July 2020, pp. 107576
[12] Ming Ma, Wei Lu, Wenjing Lyu, “Defocus Blur Detection via Edge Pixel DCT Feature of Local Patches”, Signal Processing, vol. 176, November 2020, pp. 107670
[11] Qin Zhang, Wei Lu, Tao Huang, Shangjun Luo, Zhaopeng Xu, Yaohua Liang, “On the Robustness of JPEG Post-Compression to Resampling Factor Estimation”, Signal Processing, vol. 168, March 2020, pp. 107371
[10] Wanteng Liu, Xiaolin Yin, Wei Lu, Junhong Zhang, Jinhua Zeng, Shaopei Shi, Mingzhi Mao, “Secure Halftone Image Steganography with Minimizing the Distortion on Pair Swapping”, Signal Processing, vol. 167, Feb. 2020, pp. 1--10
[9] Wei Lu, Yingjie Xue, Yuileong Yeung, Hongmei Liu, Jiwu Huang, Yun-Qing Shi, “Secure Halftone Image Steganography Based on Pixel Density Transition”, IEEE Transactions on Dependable and Secure Computing, 2019.
[8] Wei Lu, Ruipeng Li, Lingwen Zeng, Junjia Chen, Jiwu Huang, Yun-Qing Shi, “Binary Image Steganalysis Based on Histogram of Structuring Elements”, IEEE Transactions on Circuits and Systems for Video Technology, 2019.
[7] Yuileong Yeung, Wei Lu, Yingjie Xue, Jiwu Huang, Yun-Qing Shi, “Secure Binary Image Steganography with Distortion Measurement Based on Prediction”, IEEE Transactions on Circuits and Systems for Video Technology, 2019.
[6] Wei Lu, Liyu He, Ruiliang Yang, Yingjie Xue, Hongmei Liu, “Secure Binary Image Steganography based on Fused Distortion Measurement”, IEEE Transactions on Circuits and Systems for Video Technology, 2018.
[5] Qin Zhang, Wei Lu, Tao Huang, Shangjun Luo, Zhaopeng Xu, Yaohua Liang, “On the Robustness of JPEG Post-Compression to Resampling Factor Estimation”, Signal Processing, 2019
[4] Honglin Ren, Wei Lu, Bing Chen, “Reversible data hiding in encrypted binary images by pixel prediction”, Signal Processing, vol. 165, Dec. 2019, pp. 268–277.
[3] Bing Chen, Xiaotian Wu, Wei Lu, Honglin Ren, “Reversible data hiding in encrypted images with additive and multiplicative public-key homomorphism”, Signal Processing, vol. 164, 2019, pp. 48-57.
[2] Xin Chen, Jian Weng, Wei Lu, "Multi-gait Recognition based on Attribute Discovery", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.
[1] Xin Chen, Jian Weng, Wei Lu, "Deep Manifold Learning Combined with Convolutional Neural Networks for Action Recognition", IEEE Transactions on Neural Networks and Learning Systems.