康显桂

教授

办公电话： 020-39333120

联系邮箱： isskxg@mail.sysu.edu.cn

联系地址： jbo竞博电竞官方网站教学实验中心B栋501(广东省信息安全重点实验室B栋501)

教师简介: 

  Xiangui Kang Received B.S. degree from Peking University, Beijing, China, and Ph.D. degree from Sun Yat-Sen University, Guangzhou, China. He was a visiting scholar with University of British-Columbia in 2014, with University of Maryland-College Park during 2011 – 2012, and with New Jersey Institute of Technology during 2004 – 2005. He is currently a professor with the school of data and computer science, Sun Yat-Sen University, Guangzhou, China. His research interests include information forensics, watermarking, multimedia communication and security. He has published more than 80 research papers in major international academic journals and peer-reviewed conference proceedings. Dr. Kang is the chair of Multimedia Security and Forensics Technical Committee of Asian-Pacific Signal and Information Processing Association (http://www.apsipa.org/TC/MSF.html ), and is a member of IEEE Signal Processing Society's Information Forensics and Security Technical Committee.

Associate Editor: IEEE Signal Processing Signal Letters

Associate Editor: Signal Processing: Image Communication.

jbo竞博电竞官方网站教授、博士导师，兼任广东省信息安全重点实验室副主任。先后毕业于北京大学、jbo竞博电竞官方网站，并取得学士和博士学位。美国大学博士后和访问学者经历。广东省优秀博士论文获得者、多次国际会议最佳论文获得者、IEEE期刊编委、亚太国家信息与信号处理协会(APSIPA)信息取证与安全技术委员会的主席( http://www.apsipa.org/TC/MSF.html )，2020年起连续多年入榜”中国高被引学者“。

多年从事人工智能安全、多媒体信息取证、 信息隐藏等信息安全方面的研究，主持各类科研项目20多项，包括主持国家自然科学基金面上以上项目5项、国家重点研发计划课题2项、广东省自然科学基金重点项目1项，作为骨干成员参加国家973计划项目、国家自然科学基金重点项目和国家自然科学基金-广东省联合基金重点项目等多项，在数字多媒体信息安全方向发表论文100多篇（章），在IEEE/ACM Transactions和CCF A类期刊等权威期刊上以第一作者/通讯作者发表20多篇论文，获得本领域国际学术会议论文最佳奖3项，作为骨干成员获教育部提名国家科学技术奖自然科学一等奖1 项，已经获得相关专利授权10项，研究成果Google学术被引用次数3000多次。在加拿大蒙特利尔举行的2017年IEEE GlobalSIP盛会上做了深度学习与信息安全方面的杰出演讲（Distinguished Talk）和2019年本领域重要国际会议International Workshop on Digital-Forensics and Watermarking (IWDW)上作主旨演讲，且研究成果获得本领域重要国际会议International Workshop on Digital-Forensics and Watermarking (IWDW)的2008年、2013年及2018年共三次最佳论文奖。

招收计算机科学与技术，网络空间信息安全和通信与信息系统专业的专职研究员，博士后，博士和硕士研究生，有兴趣的同学请尽早联系。

同时特别欢迎优秀的本科生联系进入实验室学习和深造。

毕业学生分配去向统计（截止到2021年5月）：毕业博士生：高校（8名，其中6名已经是副教授，4个已经获得国家自然科学基金项目资助），毕业硕士生（45名）： 国家、广东省、广州市公务员（4）， IBM、网易、 腾讯、阿里、华为、字节跳动、唯品会、TPLINK等其他IT高科技公司（27)，中国移动、南方电网、中国电信、中国联通等国企（12），银行与证券（6）。

新闻：1. 康显桂老师在加拿大蒙特利尔举行的2017年IEEE GlobalSIP盛会上做深度学习与信息安全方面的杰出演讲（Distinguished Talk）；
https://2017.ieeeglobalsip.org/sym/17/DL#DL-DST.1

2. 康显桂老师2019年4月在北京香山科学会议“信息安全与人工智能”学术讨论会上做”信息安全与生成对抗网络“的专题报告；

3. 祝贺杜宗乘同学的毕业论文”基于LSTM神经网络的中国股票市场指数预测模型与分析”获得jbo竞博电竞官方网站优秀毕业论文奖。

4. 康显桂老师2019年11月2日在本领域重要国际会议“ 2019 International Workshop on Digital-Forensics and Watermarking (IWDW)”上做特邀报告(Invited Talk)“Optimal Embedding with GAN"。

5.  康显桂老师在首届全国大数据与智能处理学术会议上作“基于GAN和深度学习的多媒体信息安全方法” 特邀报告, 西安, 2019-11-24至2019-11-25.

6.  陈艺芳，康显桂等的论文“ “Automated Design of Neural Network Architectures with Reinforcement Learning for Detection of Global Manipulations,” IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 5, Aug. 2020”获得第一届中国图像图形学会中国媒体取证与安全大会最佳论文报告奖。

研究领域: 

 计算机科学与技术,   网络与空间信息安全，研究方向：

1. 深度学习、模式识别

2. 多媒体信息隐藏和信息取证方法与理论， 多媒体大数据处理与通信

3. 恶意软件检测与分类

 

教育背景: 

2014/06 - 2014/09，加拿大  University of British Columbia 访问学者，合作导师：Prof. Z. Jane Wang（IEEE fellow）

2011/08 – 2012/08，美国马里兰大学电气与计算机工程系访问学者，合作导师：IEEE主席 Prof. K. J. Ray Liu（美国工程院院士）

2004/08 – 2005/09，美国新泽西理工学院（NJIT）电气与计算机工程系博士后, 合作导师：Prof. Yun Q. Shi (IEEE fellow)

1998/09 – 2004/03，jbo竞博电竞官方网站计算机软件与理论专业博士研究生, 获理学博士

1990/09 – 1993/07，南京大学硕士研究生, 获理学硕士

1986/09 – 1990/07，北京大学本科生, 获理学学士

工作经历: 

现为jbo竞博电竞官方网站教授和博士生导师，兼任广东省信息安全重点实验室副主任。毕业后先在中国有色金属总公司广州有色金属研究院工作两年，从1995年底起在jbo竞博电竞官方网站从事教学和科研，2010年6月起任jbo竞博电竞官方网站教授，2010年12月起任jbo竞博电竞官方网站博士导师。

海外经历: 

2014/06 - 2014/09，加拿大 University of British Columbia 访问学者，合作导师：Prof. Z. Jane Wang（IEEE fellow）

2011/08 – 2012/08，美国马里兰大学电气与计算机工程系访问学者，合作导师：IEEE主席Prof. K. J. Ray Liu（IEEE fellow）

2004/08 – 2005/09，美国新泽西理工学院（NJIT）电气与计算机工程系博士后, 合作导师：Prof. Yun Q. Shi (IEEE fellow)

获奖及荣誉: 

1) 获得本领域重要国际会议IWDW 2013的最佳学生论文奖 (Best Student Paper Award，论文通讯作者）：Hui Zeng, 康显桂*, “Camera Source Identification Game with incomplete information,” in Proc. of International Workshop on Digital-forensics and Watermarking, IWDW 2013, 2013/10/01-2013/10/03, Auckland, New Zealand, 2013;

2) 获得本领域重要国际会议IWDW 2008的最佳学生论文奖 (Best Student Paper Award，论文通讯作者）：Rui Yang, 康显桂*, Jiwu Huang. "Robust Audio Watermarking Based On Log-polar Frequency Index", in Proc. of International Workshop on Digital-forensics and Watermarking, IWDW 2008, Busan, Korea, 2008;

3) 稳健数字水印方法，教育部提名国家科学技术奖自然科学一等奖;

4) 2005年广东省优秀博士论文奖

5) 获得本领域重要国际会议IWDW 2018的最佳论文奖 (Best Paper Award，论文通讯作者）：Huilin Zheng, Xuan Li, Danyang Ruan, Xiangui Kang, Yun Q. Shi, “Comparison of DCT and Gabor Filters in Residual Extraction of CNN Based JPEG Steganalysis,” in 17th Proc. of International Workshop on Digital-forensics and Watermarking, IWDW 2018, 2018/10/22 - 2018/10/24, Jeju, Korea, 2018.

6） 获得环太平洋国家信号与信息处理协会（APSIPA）2018年杰出讲者奖（distinguished lecturer）。

7） 陈艺芳，康显桂等的论文报告“ Automated Design of Neural Network Architectures with Reinforcement Learning for Detection of Global Manipulations”获得第一届中国图像图形学会中国媒体取证与安全大会最佳论文报告奖。

科研项目: 

1) 主持：国家自然科学基金项目，基于深度学习的隐秘通信检测及其博弈安全性研究( 项目编号：61772571) , 在研（2018.01-2021.12）;

2)  主持：国家自然科学基金项目，深度伪造视频取证理论与方法的研究( 项目编号：62072484) ，在研,（2021.01-2024.12）

3) 主持：国家重点研发计划课题两项，多媒体内容取证关键技术研究第一期和第二期课题，( 项目编号：2019QY2203，2022QY0202)， 在研，2019.12.01-2023.05.31。

4) 主持（联合单位主持人）：国家自然科学联合基金重点项目，基于自然图像内容的信息隐藏检测理论、建模、系统实现以及安全性评价研究(项目编号：U1536204)，已结题（2016.01-2019.12）。

5) 主持：中国电信委托研发项目，面向LTE的TELCO-OTT实时通信系统研究与开发, 已结题。

6) 主持：国家自然科学基金项目，信息取证关键技术及其安全性研究(项目编号：61070167), 已结题。

7) 主持：国家自然科学基金项目(项目编号：60403045), 已结题。

8) 主持：广东省自然科学基金重点项目，图像信息取证方法的博弈学分析研究(项目编号：s201302001278)，已结题。

9) 主持：国家教育部博士点基金博导类项目，信息取证系统安全性和稳健性研究(项目编号：20110171110042)，已结题。

10)主持：广东省自然科学基金项目(项目编号：9151027501000103), 已结题。

11)主持：广东省自然科学基金项目（项目编号：04009742）, 已结题。

12)  主持：国家自然科学基金项目，多媒体信息取证多目标优化分析( 项目编号：61379155) ，已结题

13) 主持：jbo竞博电竞官方网站重大项目和前沿新兴交叉学科培育项目（项目编号：6177060230）， 基于机器学习的隐秘通信检测研究，已结题。

主要学术兼职: 

1). 担任亚太国家信息与信号处理协会(APSIPA)信息取证与安全技术委员会的主席（http://www.apsipa.org/TC/MSF.html）；

2). 国际著名期刊“IEEE Signal Processing Letters(JCR一区期刊)” 和“Signal Processing: Image Communication”(JCR二区期刊) 的编委；

3). 担任中国图像图形学会多媒体信息取证与安全专业委员会常务委员；

4). IEEE信号处理协会信息取证与安全技术委员会成员；

5).  担任多个重要国际会议如International Conference on Acoustics, Speech, and Signal Processing(ICASSP), IEEE International conference on Image Processing (ICIP)，IEEE International Conference on Multimedia and Expo(ICME), IEEE Machine Learning for Signal Processing Workshop(MLSP)等的技术委员会成员。

教授课程: 

数字图像处理， 微型计算机组成原理，多媒体内容安全，数字信号处理，随机信号处理，通信原理， 数字通信。

代表性论著: 

期刊论文：

  1. A. Luo, C. Kong, J. Huang, Y. Hu, X. Kang*, A. Kot, "Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection," IEEE Transactions on Information Forensic and Security (CCF A), vol. 19, pp. 1168-1182,  2024（高被引论文, code: https://github.com/LoveSiameseCat/CFM）
  2. A. Luo, R. Cai, C. Kong, Y. Ju, X. Kang*, J. Huang, A. C. Kot, “Forgery-aware Adaptive Learning with Vision Transformer for Generalized Face Forgery Detection”, IEEE Transactions on CSVT, DOI: 10.1109/TCSVT.2024.3522091, (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10813581)
  3. R. Tu, X. Kang*, C. Wei Tan, C. -H. Chi and K. -Y. Lam, "All Points Guided Adversarial Generator for Targeted Attack Against Deep Hashing Retrieval", IEEE Transactions on Information Forensics and Security, vol. 20, pp. 1695-1709, 2025, doi: 10.1109/TIFS.2025.3534585. (https://ieeexplore.ieee.org/abstract/document/10854600)
  4. Y. He, X. Kang*, Q. Yan, E. Li, "ResNeXt+: Attention Mechanisms Based on ResNeXt for Malware Detection and Classification," IEEE Transactions on Information Forensic and Security (CCF A), vol. 19, pp. 1142-1155, 2024.
  5. B. Huang, S. Cui, J. Huang, X. Kang*, Discriminative Frequency Information Learning for End-to-End Speech Anti-spoofing, IEEE Signal Processing Letters, vol. 30, pp. 185-189, 2023.
  6.  J. Wang, X. Yin, J. Huang, X. Kang*, “An Adaptive IPM-based HEVC Video Steganography via Minimizing Non-additive Distortion", IEEE Transactions on Dependable and Secure Computing(CCF A), vol. 20, no. 4, pp. 2896-2912，2022.
  7.  S. Cui, B. Huang, J. Huang, X. Kang*, “Synthetic Speech Detection Based on Local Autoregression and Variance Statistics,” IEEE Signal Processing Letters, vol. 29, pp. 1462-1466, 2022.
  8. J. Yu, Y. He, Q. Yan, X. Kang*, "SpecView: Malware Spectrum Visualization Framework With Singular Spectrum Transformation," IEEE Transactions on Information Forensic and Security(CCF A), vol. 16, pp. 5093-5107, 2021.
  9. J. Yang, D. Ruan, J. Huang, X. Kang*, Y. Q. Shi, “An embedding cost learning framework using GAN,” IEEE Transactions on Information Forensic and Security(CCF A), vol. 15, pp. 839-851, 2020.
  10. Y. Chen, Z. Wang, X. Kang*, Z. J. Wang, Automated Design of Neural Network Architectures with Reinforcement Learning for Detection of Global Manipulations, IEEE Journal of Selected Topics in Signal Processing(中科院一区期刊), vol. 14, no. 5, , pp. 997~1011, Aug. 2020.
  11. X. Lin, X. Kang*, “Robust electricnetwork frequency estimation with rank reduction and linear prediction,” ACM Transactions on Multimedia Computing Communications and Applications, vol.14, No.4, Article 84, 2018.
  12. H. Zeng, J. Liu, J. Yu, X. Kang*, Z. J. Wang, Y. Q. Shi, “A framework of camera source identification Bayesian game,” IEEE Transactions on Cybernetics(中科院一区期刊), vol. 47, no.7, pp. 1757-1768, Jul. 2017. 
  13. X. Lin, J. Liu, X. Kang*, “Audio recapture detection with convolutional neural networks,” IEEE Transactions on Multimedia(CCF A), vol.18, no.8, pp. 1480~1487, Aug. 2016.
  14. X. Kang, M. C. Stamm, A. Peng, K. J. R. Liu, “Robust median filtering forensics using an autoregressive model,” IEEE Transactions on Information Forensic and Security(CCF A), vol. 8, no. 9, pp. 1456-1468, Sept. 2013.
  15. X. Kang, Y. Li, Z. Qu, J. Huang, “Enhancing source camera identification performance with a camera reference phase sensor pattern noise,” IEEE Transactions on Information Forensic and Security(CCF A), vol. 7, no. 2, pp. 393-402, Apr. 2012.
  16. X. Kang, J. Huang, W. Zeng, “Efficient general print-scanning resilient data hiding based on uniform log-polar mapping,” IEEE Transactions on Information Forensic and Security(CCF A), vol. 5, no. 1, pp. 1-12, Mar. 2010.
  17. X. Kang, R. Yang, J. Huang, “Geometric invariant audio watermarking based on an LCM feature,” IEEE Transactions on Multimedia(CCF A), vol.13, no.2, pp.181-190, Apr. 2011.
  18. X. Kang, J. Huang, Y. Q. Shi, Y. Lin, “A DWT-DFT composite watermarking scheme robust to affine transform and JPEG compression,” IEEE Transactions on Circuit and System for Video Technology, vol. 13, no. 8, pp. 776-786, Aug. 2003.
  19. X. Kang, J. Huang, W. Zeng, “Improving robustness of quantization-based image watermarking via adaptive receiver,” IEEE Transactions on Multimedia(CCF A), vol. 10, no. 6, pp. 953-959, Oct. 2008.
  20. J. Chen, X. Kang*, Y. Liu, Z. J. Wang, “Median filtering forensics based on convolutional neural networks,” IEEE Signal Processing Letters, vol. 22, no.11, pp. 1849-1853, Nov. 2015.(高被引论文。代码： https://github.com/XianguiKang/Media-Filtering-Forensics_DL)
  21. D. Lin, Y. Wang, W. Tang, X. Kang, “Boosting Query Efficiency of Meta Attack With Dynamic Fine-Tuning,” IEEE Signal Processing Letters, vol. 29, no. 6, pp. 2557-2561, 2022.
  22. X. Kang, J. Huang, “Non-ambiguity of blind watermarking: a revisit with analytical resolution,” Science in China: Series F, vol. 52, no.2, pp. 267-285, Feb. 2009. (CCF A)
  23. H. Zeng, J. Yu, X. Kang*, S. Lyu, “Countering JPEG anti-forensics based on noise level estimation,” Science in China: Series F, vol. 61, no. 3, Article 032103, Mar. 2018. (CCF A)
  24. F. Shang, Y. Lan, J. Yang*, E. Li, X. Kang*, “Robust Data Hiding for JPEG Images with Invertible Neural Network”, Neural Networks(CCF B), vol. 163, pp. 219-232, 2023.
  25. J. Li, Y. Hu, B. Liu; Z. Gong, X. Kang, "Boosting Deepfake Feature Extractors Using Unsupervised Domain Adaptation, " vol. 31, IEEE Signal Processing Letters, pp. 2010-2014, Jul. 2024.
  26. 彭安杰, 曾辉, 康显桂*, “基于多方向差分的重采样取证技术,” 中国科学: 信息科学, vol. 46, pp. 627-642, 2016. (CCF A)
  27. 彭安杰, 康显桂*, “基于滤波残差多方向差分的中值滤波取证技术,” 计算机学报, vol. 39, no. 3, pp. 503-515, 2016. (CCF A)
  28. 康显桂, 黄继武, 曾文军, 施云庆, “数字媒体水印非协议模糊性,” 中国科学(F辑:信息科学), vol. 39, no. 04, pp. 397-404, 2009. (CCF A)
  29. 赵慧明, 康显桂, 黄继武, “基于非对称数据结构实现信息隐藏通信的方法研究,” 电子学报, vol. 37, no. 6, pp. 1362-1366, 2009. (国内一级期刊)
  30. 杨群生, 黄继武, 康显桂, 王舟, “图像处理中直方图加权滤波,” 电子学报, vol. 32, no. 7, pp. 1108-1111, 2004. (国内一级期刊)
  31. 康显桂, 黄继武, 林彦, 杨群生, “抗仿射变换的扩频图象水印算法,” 电子学报, vol. 32, no. 1, pp. 8-12, 2004. (国内一级期刊)
  32. 康显桂, 黄继武, “对几何变换鲁棒的图像水印算法,” 自动化学报, vol. 29, no. 5, pp. 709-715, 2003. (国内一级期刊)

会议论文：

  1. Z. Ye, W. Zhang, Y. Ren, D. Yan,  X. Kang*, B. Ma, S. Wang "Speed Master: Quick or Slow Play to Attack Speaker Recognition", Thirty-Ninth AAAI Conference on Artificial Intelligence(AAAI, CCF A), Philadelphia , USA, Feb. 27 - Mar. 2, 2025.
  2. J. Li, Z. He, A. Luo, J. Hu, Z. Wang, X. Kang*, "AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks", the 38th Annual Conference on Neural Information Processing Systems (NeurIPS, CCF A), Vancouver, Canada, Dec 9-15, 2024. (code: https://github.com/XianguiKang/AdvAD)
  3. Y. Lan, F. Shang, J. Yang, X. Kang*, E. Li “Robust Image Steganography: Hiding Messages in Frequency Coefficients", The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI, CCF A), Washington DC, USA, Feb. 7 - 14, 2023.
  4. J. Li, Z. Yu, Z. He, Z. Wang, X. Kang*, "PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks," in proc. of International Conference on Acoustics, Speech, and Signal Processing 2025 (ICASSP 2025), Hyderabad, India, 2025-4-06 to 2025-04-11.
  5. F. Shang, W. Zhao,  X. Kang*, Z. Wang, "INN-based Secure Steganography Using Lost Information as Adversarial Perturbations," in proc. of International Conference on Acoustics, Speech, and Signal Processing 2025 (ICASSP 2025), Hyderabad, India, 2025-4-06 to 2025-04-11.
  6. R. Lu, Z. He, J. Wen, X. Kang*, Z. Wang, "CA-UAP: Content-Agnostic Universal Adversarial Perturbation for Enhanced Generalization," in proc. of International Conference on Acoustics, Speech, and Signal Processing 2025 (ICASSP 2025), Hyderabad, India, 2025-4-06 to 2025-04-11.
  7. K. Xu, Z. He, X. Kang*, Z. Wang, "Transferable and high quality adversarial example generation leveraging diffusion model”, 2024 IEEE International Conference on Multimedia and Expo (ICME, CCF-B), Niagra Falls, Canada, July 15-19, 2024.
  8. X. Kang, P. Su, Z. Huang, Y. Chen and J. Wang, "Double Compression Detection Based on the De-Blocking Filtering of HEVC Videos," 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP ), Rhodes Island, Greece, 2023, pp. 1-5.
  9. A. Luo, E.Li, Y.Liu, X. Kang* and Z. J. Wang, “A CAPSULE NETWORK BASED APPROACH FOR DETECTION OF AUDIO SPOOFING, ATTACKS,” in proc. of International Conference on Acoustics, Speech, and Signal Processing 2021 (ICASSP 2021), pp. 6059 ~ 6063, Toronto, ON, Canada, 6~11 June 2021. (语音音频信号处理领域顶级会议)
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