教师名录

叶登攀

邮          箱:yedp@whu.edu.cn

职          称:教授

办公室地址:

实验室地址:

个人简介

武汉大学国家网络安全学院教授,国家重点研发计划专项负责人、国家自然科学基金联合基金重点项目联合负责人。美国ACM会员,计算机学会会员,中国人工智能学会人工智能与安全专委会委员、智能数字内容安全专委会委员,中国图像图像学会数字媒体取证与安全专委会委员,长期从事网络与多媒体安全、人工智能与机器学习等领域研究。担任863答辩评审专家,国家自然科学基金通讯评审专家,湖北省科技评审专家。国际期刊《International Journal of Digital Crime and Forensics》副主编,《Security and Communication Networks》、《Multimedia Tools and Applications》、《International Journal of Computational Intelligence Systems》、《Journal of Internet Technology》等客座编辑,IEEE MINES 2009、CIHW 2015组委会主席,多个重要期刊和学术会议的审稿人。主持多项国家级和省部级科研项目、国际合作项目,在SCI、EI国内外主流期刊和会议发表论文70余篇,专利授权和申请9项。全国大学生信息安全竞赛优秀指导教师(2013年三等奖、2014年一等奖、2015二等奖)、2019“中国软件杯”总决赛二等奖团队指导教师、2019第一届全国信息隐藏大赛三等奖指导教师、2019全国信息隐藏大会优秀论文奖。编著信息安全相关教材2部(含教育部首批“十二五”普通高等教育本科国家级规划教材)。

研究方向

大数据多媒体安全、机器学习与隐私保护、网络安全感知与防御、网络空间隐匿对抗

教育背景

2001/9 - 2005/12,南京理工大学,自动化系,博士

1992/9 - 1996/7,华南理工大学,自动化系,学士

工作经验

2017/10- 现在, 武汉大学, 国家网络安全学院, 教授

2016/9 - 2017/9,美国中佛罗里达大学,计算机系,访问教授

2012/11 - 2016/9,武汉大学,计算机学院,教授

2011/1 – 2012/1,新加坡管理大学,信息系统学院,博士后研究员

2007/12 - 2012/11,武汉大学,计算机学院,副教授

2006/1 - 2007/12,华中科技大学,图像识别与人工智能研究所,博士后

教授课程

《信息内容安全》

《信息隐藏技术与应用》

《数据加密》

《网络安全》

《信息检索》

《专业英语》

《人工智能》

高等学校信息安全专业十二五规划教材参与:

[1] 王丽娜, 张焕国, 叶登攀,胡东辉,信息隐藏技术与应用(高等学校信息安全专业十二五规划教材),武汉大学出版社,2012(ISBN:978-7-307-09030-9)

[2] 王丽娜,郭迟,叶登攀,李鹏,信息隐藏技术试验教程(第二版)(高等学校信息安全专业十二五规划教材),武汉大学出版社,2012(ISBN:7307043386)

发表论文


学术论文情况如下:

[1] Jiacheng Deng, Li Dong, Jiahao Chen, Diqun Yan*, Rangding Wang, Dengpan Ye*, Lingchen Zhao, Tian Jinyu: Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition. ACM MM 2023, accepted (CCF A类会议)

[2] Jingyang Li, Dengpan Ye*, Long Tang, Chuanxi Chen, Shengshan Hu: Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain. International Joint Conference on Artificial Intelligence (IJCAI 2023), accepted(CCF A类会议)

[3] Chuanxi Chen, Dengpan Ye*, Yiheng He, Long Tang, Yue Xu: Improving Adversarial Robustness with Adversarial Augmentations. IEEE Internet of Things Journal, 2023, DOI: 10.1109/JIOT.2023.3301608.(中科院 1 区,通讯作者,IF=11.043)

[4] Lv chen, Dengpan Ye*, Yueyun Shang: Perceptual Video Hashing with Secure Anti-Noise Model for Social Video Retrieval. IEEE Internet of Things Journal, 2023

[5] G. Hua, Q. Wang, D. Ye*, H. Zhang, G. Wang, and S. Xia: Factors affecting forensic electric network frequency matching—A comprehensive study, Digital Communications and Networks,  2023, https://doi.org/10.1016/j.dcan.2023.01.009.(中科院1区, 通讯作者,IF=6.348)

[6] Qingqing Wang, Dengpan Ye*: Robust Anti-forensics on Audio Forensics System, International Conference on Intelligent Computing (ICIC 2023), 2023(CCF C类会议)

[7] Cong Tian, Dengpan Ye*, Chuanxi Chen: Tiny WFP: Lightweight and Effective Website Fingerprinting Via Wavelet Multi-Resolution Analysis. International Conference on Applied Cryptography and Network Security (ACNS 2023), 2023(CCF C类会议)

[8] Baojin Huang, Zhongyuan Wang, Jiaxin Ai, Jifan Yang, Qin Zou, Qian Wang, Dengpan Ye: Implicit Identity Driven Deepfake Face Swapping Detection, CVPR 2023, accepted(CCF A类会议)

[9] Xiaogeng Liu, Shengshan Hu, Haoyu Wang, Minghui Li, Chaowei Xiao, Hai Jin, Dengpan Ye, Libing Wu: Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency, CVPR 2023, accepted(CCF A类会议)

[10] Dengpan Ye, Chuanxi Chen*, Changrui Liu, Hao Wang, Shunzhi Jiang: Detection Defense Against Adversarial Attacks with Saliency Map, International Journal of Intelligent Systems, 37(12): 10193-10210 (2022)(中科院1区, IF=10.312,SCI检索号WOS:000648293700001)

[11] Chuanxi Chen, Dengpan Ye*, Hao Wang, Long Tang, Yue Xu: Towards Adversarial Robustness With Multidimensional Perturbations via Contrastive Learning. The International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2022), 2022(CCF C类会议)

[12] Lv Chen, Dengpan Ye*, Yueyun Shang, RTIM Hashing: Robust and Compact Video Hashing With a Rotation- and Translation-Invariant Model, The Computer Journal, 2022, bxac115, https://doi.org/10.1093/comjnl/bxac115.(CCF B类期刊,SCI检索号WOS:000850263100001)

[13] Lv Chen, Dengpan Ye*, Yue yun Shang, Jiaqing Huang: Robust Video Hashing Based on Local Fluctuation Preserving for Tracking DeepFake Videos. The International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2022), 2022(CCF B类会议,信号处理顶会,检索号WOS:000864187903036)

[14] Yi Jiang, Dengpan Ye*: Black-Box Adversarial Attacks against Audio Forensics Models, Security and Communication Networks, vol. 2022, Article ID 6410478, 8 pages, 2022. https://doi.org /10.1155/ 2022/6410478(JCR 1区,CCF C类期刊,SCI)

[15] Ziwei Zhang, Dengpan Ye*: Defending against Deep-Learning-Based Flow Correlation Attacks with Adversarial Examples, Security and Communication Networks, vol. 2022, Article ID 2962318, 11 pages, 2022. https://doi.org/10.1155/2022/2962318(JCR 1区,CCF C类期刊)

[16] Guang Hua, Han Liao, Qingyi Wang, Haijian Zhang, and Dengpan Ye: Detection of Electric Network Frequency in Audio Recordings - From Theory to Practical Detectors, IEEE Transactions on Information Forensics and Security, 16: 236-248 (2021)(CCF A类期刊)

[17] Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Zhibo Wang, Dengpan Ye: Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution, IEEE Transactions on Dependable and Secure Computing, 18(6): 2569-2581 (2021) (CCF A类期刊)

[18] G. Hua, H. Liao, H. Zhang*, D. Ye, and J. Ma: Robust ENF estimation based on harmonic enhancement and maximum weight clique, IEEE Transactions on Information Forensics and Security, 16: 3874-3887 (2021) (CCF A类期刊)

[19] Shenhao Cao, Qin Zou, Xiuqing Mao, Dengpan Ye, Zhongyuan Wang: Metric Learning for Anti-Compression Facial Forgery Detection. ACM MM 2021, 1929-1937, 2021 (多媒体顶会)

[20] Xinlei Jin, Dengpan Ye*: Chuanxi Chen: Countering Spoof: Towards Detecting Deepfake with Multidimensional Biological Signals, Security and Communication Networks, vol. 2021, 6626974:1- 6626974:8 (2021)(JCR 1区,CCF C类期刊)

[21] Yuan Mei, Dengpan Ye*, Shunzhi Jiang, Jiarui Liu: A Particular Character Speech Synthesis System Based on Deep Learning, IETE Technical Review, 38:1, 184-194, DOI: 10.1080/02564602.2020.1824623 (2021) (JCR 2区,中科院4区)

[22] Ziwei Zhang, Dengpan Ye*: Protecting Encrypted Video Stream Against Information Leak Using Adversarial Traces. ICIG (3) 2021: 765-776

[23] Jiaqing Huang, Dengpan Ye*: Ground-to-Aerial Image Geo-Localization with Cross-View Image Synthesis. ICIG (3) 2021: 412-424

[24] Shunzhi Jiang, Dengpan Ye, Jiaqing Huang, Yueyun Shang: Smart Steganogaphy: Light-weight generative audio steganography model for smart embedding application, Journal of Network and Computer Applications, 165:102689 (2020) (中科院2区,通讯作者)

[25] Lv Chen, Dengpan Ye* and Shunzhi Jiang. High Accuracy Perceptual video hashing via Low-Rank decomposition and DWT. International Conference on Multimedia Modeling (MMM) 2020, in Daejeon, Korea, Lecture Notes in Computer Science, 11961: 802-812 (2020)(CCF C类)

[26] Muhammad Aslam, Dengpan Ye*, Muhammad Hanif, Muhammad Asad: Adaptive Machine learning: A Framework for Active Malware Detection. MSN 2020: 57-64 (2020)(CCF C类)

[27] Yueyun Shang, Shunzhi Jiang*, Dengpan Ye*, and Jiaqing Huang: Enhancing the Security of Deep Learning Steganography via Adversarial Examples. Mathematics, 2020, 8(9):1446. (2020) ((JCR 1区,中科院2区)

[28] Changrui Liu, Dengpan Ye*, Yueyun Shang, et al: Defend Against Adversarial Samples by Using Perceptual Hash. CMC - Computers, Materials & Continua, 62(3): 1365–1386 (2020) (JCR 1区,中科院3区)

[29] Shiyu Li, Dengpan Ye*, Shunzhi Jiang, Changrui Liu, Xiaoguang Niu, Xiangyang Luo: Anti-Steganalysis for Image on Convolutional Neural Networks, Multimedia Tools and Applications, 79(7): 4315–4331(2020)(JCR 1区,CCF C类)

[30] Ayesha Shafique, Guo Cao, Muhammad Aslam, Muhammad Asad and Dengpan Ye: Application-Aware SDN-Based Iterative Reconfigurable Routing Protocol for Internet of Things (IoT). Sensors, 20, 3521(2020) (doi:10.3390/s20123521)(中科院2区)

[31] Muhammad Aslam, Dengpan Ye*, Muhammad Hanif, Muhammad Asad: Machine Learning Based SDN-enabled Distributed Denial-of-Services Attacks Detection and Mitigation System for Internet of Things. ML4CS (1) 2020: 180-194 (2020)

[32] Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo: NEXT: a neural network framework for next POI recommendation. Frontiers of Computer Science, 14(2): 314-333 (2020) (中科院3区)

[33] Yongdong Wu, Dengpan Ye*, Zhuo Wei, Qian Wang, William Tan, Robert H. Deng: Situation_Aware Authenticated Video Broadcasting Over Train-Trackside WiFi Networks. IEEE Internet of Things Journal 6(2): 1617-1627 (2019) (中科院 1 区,通讯作者, IF=11.043)

[34] Dengpan Ye, Shunzhi Jiang, Shiyu Li, Changrui Liu: Faster and transferable deep learning steganalysis on GPU. J. Real-Time Image Processing, 16(3): 623-633 (2019).(中科院3区)

[35] Tao Lei, Zhan Qin, Zhibo Wang, Qi Li, Dengpan Ye: EveDroid: Event-Aware Android Malware Detection Against Model Degrading for IoT Devices. IEEE Internet of Things Journal, 6(4): 6668-6680 (2019)(中科院1区)

[36] Qichao Ying, Zhenxing Qian, Xinpeng Zhang, Dengpan Ye: Reversible Data Hiding With Image Enhancement Using Histogram Shifting. IEEE Access, 7: 46506-46521 (2019)(中科院2区)

[37] Zhenjun Tang, Shijie Xu, Dengpan Ye, Jinyan Wang, Xianquan Zhang, Chuanqiang Yu: Real-time reversible data hiding with shifting block histogram of pixel differences in encrypted image. Journal of Real-Time Image Processing, 16(3): 709-724 (2019)(中科院3区)

[38] Fei Ma, Xiaoke Zhu, Qinglong Liu, Chengfang Song, Xiao-Yuan Jing, Dengpan Ye: Multi-view coupled dictionary learning for person re-identification. Neurocomputing, 348: 16-26 (2019)(中科院2区)

[39] Donghui Hu, Zhongjin Ma, Yuqi Fan, Shuli Zheng, Dengpan Ye, Lina Wang: Study on the interaction between the cover source mismatch and texture complexity in steganalysis. Multimedia Tools and Applications, 78(6): 7643-7666 (2019)(CCF C类)


课题科研

数字水印与信息隐藏:

1. 国家自然科学基金面上项目,面向安全图像隐写应用的通用鲁棒对抗样本理论方法研究,2021/01-2024/12,57万元,负责人

2. 国家自然科学基金联合基金培育项目,大数据环境下的深度图像隐写分析关键技术研究,2017.1-2019.12,68万,负责人

3. 国家自然科学基金面上项目,面向多媒体密域的客户端数字指纹同态化嵌入理论和技术,2013/01-2016/12,79万元,负责人

4. 国家自然科学基金面上项目,基于去同步思想的实时视频数字指纹技术研究,2010/01-2012/12,18万元,负责人

5. 华为开发项目,反信息隐藏技术开发,2015-2016,30万,负责人

人工智能与媒体安全:

6. 国家重点研发计划XX专项,基于人工智能的XXX检测技术(基于XXXX的社交****与**),2019/10-2021/10,300万,项目负责人

7. JKW173重点项目,基于****机理与技术研究,2021/08-2025/08,1000万,参与

8. ZF预研项目,面向****技术:2022/08-2024/07,390万,参与

9. 国家重点研发计划**专项,***应用平台关键技术研究(重大共性关键技术)子课题,2017.1-2019.12,64万,负责人

10. 国防科技创新特区重点项目课题,****智能技术,2020.9-2022.8,60万,负责人

11. **院所开发项目,社交系统**开发,2017.12-2019.12,40万,负责人

12. 湖北省重大关键技术创新项目子课题,基于云计算的监控视频大数据智能分析与检索关键技术研发及应用,2015-2017,20万,负责人

网络空间安全对抗与防御:

13. 国家自然科学基金重点项目,基于深度情景群智感知的面向移动互联网的主动防御技术,2018/01-2021/12,242万,联合负责人

14. 国家自然科学基金联合基金重点项目,大数据驱动下的目标定位与追踪技术,2017.1-2020.12,247万,参与人

15. 武汉大学自主科研项目(B类)重大培育项目,基于移动互联网深度感知的主动防御研究,2018-2019,10万,负责人

授权与申请专利:

[1] 叶登攀等,基于深度学习图像检索的社交图像地理定位方法及系统, 授权公告号:CN109522434B, 2021.8.3

[2] 叶登攀,田聪,张梓威,王浩,陈传希,一种基于多级投票机制的恶意混淆脚本静态检测方法,授权公告号:CN112685738B,2022.10.14

[3] 叶登攀,王蕊,基于多尺度特征融合的通用图像篡改取证方法及系统,授权公告号:CN116721320A,2023.09.08

[4] 叶登攀,金鑫磊,李镜洋,田聪,一种基于隐式音素转换的小语种迁移学习语音合成方法,申请号:202210253668.1,2022.5.7


研究团队

教授3人,副教授3人,“博新计划”博士后1人,博士生5人,硕士生10人。

欢迎有志于网络空间安全事业的同学加入,提供一流的实验条件和国际学术机会!

获奖信息

[1] 叶登攀等,双重ID防御:面向网络人脸图像的可溯源对抗水印,“华为杯”第二届中国研究生网络安全创新大赛总决赛一等奖(奖金1万),2023,优秀指导老师

[2] 叶登攀、张梓威等,基于多级投票机制的高效混淆脚本检测,2020年“创客中国”人工智能中小企业创新创业大赛总决赛一等奖(奖金2万),2020,指导老师

[3] 叶登攀等,一种基于深度学习特定人物语音合成技术,全国信息隐藏大会CIHW2019优秀论文奖,2019,排名第一

[4] 叶登攀等,图像隐藏分析,第一届全国信息隐藏大赛三等奖,2019,指导老师

[5] 叶登攀等,屏隐慧盾:主被动结合的屏幕防拍照泄密溯源系统,2023年全国大学生信息安全竞赛,二等奖,指导老师

[6] 叶登攀等,基于追溯处理机制的运维服务大数据的安全与共享,2019“中国软件杯”总决赛,二等奖,指导老师


邮箱 yedp@whu.edu.cn 职称 教授
办公室地址 实验室地址