彭飞 Peng Fei

教授

广州大学 人工智能与区块链研究院

人工智能安全 , 多媒体内容安全 , 工业互联网安全

简介  ABOUT

动态   NEWS

学术   ACADEMIC

个人简介

彭飞,男,教授,博士生导师,广州大学百人计划突出学术带头人。主要从事人工智能安全、多媒体安全与保密、工业互联网安全等领域的研究。2006年博士毕业于华南理工大学电子与信息学院,曾在香港城市大学、英国Warwick大学、新加坡国立大学等进行访问研究工作。曾先后担任湖南大学信息科学与工程学院信息工程系主任、网络空间安全系主任、国家保密学院建设办主任。主持承担了国家自然科学基金项目5项、省部重点或一般项目10项,参与国家重点研发项目、国家自然科学基金重点项目级或省部级项目20余项。入选湖南省骨干青年教师培养对象,获得首届全国保密专业教育优秀教师、湖南大学优秀教师、优秀共产党员等称号,多次获得全国信息隐藏暨多媒体安全学术大会(CIHW)优秀论文奖、湖南省自然科学优秀论文奖。目前已在国际国内权威期刊发表学术论文100余篇,当前谷歌学术H指数为23。研究成果获得湖南省自然科学二等奖、科技进步二等奖、自然科学三等奖。入选全球前2%顶尖科学家榜单之“科学影响力排行榜(2019,2020, 2021, 2022)”、“终身科学影响力排行榜(2020, 2021, 2022)”。

研究方向

人工智能的安全应用:基于深度学习的图像取证/反取证、人脸隐私保护、人脸伪造检测、人脸识别攻击、人脸融合伪造复原等
多媒体安全与保密:数字图像加密域可逆信息隐藏、矢量图形加密域可逆水印、图纸抗打印扫描水印、跨媒介数据版权保护等
工业互联网安全与保密:工业数据隐私保护、工业互联网数据版权保护、工业互联网数据泄密防护技术等

学习经历

1995年9月~1999年6月 湘潭大学机械工程学院,本科,专业:机电工程
1999年9月~2002年6月 广东工业大学机电学院,硕士,专业:机电工程
2003年9月~2006年6月 华南理工大学电信学院,博士,专业:电路与系统

代表性论文

[1] Fei Peng, Le Qin, Min Long, Face morphing attack detection and localization based on feature-wise supervision, IEEE Transactions on Information Forensics and Security, 2022, Accepted.
[2] Fei Peng, Tong-xin Liao, Min Long. A Semi-fragile Reversible Watermarking for Authenticating 3D Models in Dual Domains Based on Variable Direction Double Modulation. IEEE Transactions on Circuits and Systems for Video Technology, 2022, DOI: 10.1109/TCSVT.2022.3192542.
[3] Fei Peng, Wen-yan Jiang, Min Long. A Low Distortion and Steganalysis-Resistant Reversible Data Hiding for 2D Engineering Graphics. ACM Transactions on Multimedia Computing Communications and Applications, 2022, DOI: 10.1145/3539661.
[4] Fei Peng, Li-ping Yin, Min Long. et.al. BDC-GAN: Bidirectional Conversion between Computer-generated and Natural Facial Images for Anti-forensics, IEEE Transactions on Circuits and Systems for Video Technology, 2022, DOI: 10.1109/TCSVT.2022.3177238.
[5] Fei Peng, Wen-yang Jiang, Min Long, et.al. A Reversible Watermarking for 2D Engineering Graphics Based on Difference Expansion with Adaptive Interval Partitioning, IEEE Transactions on Dependable and Secure Computing, 2022, DOI10.1109/TDSC.2022.3166134.
[6] Fei Peng, Guan-fu Chen, Min Long. A Robust Coverless Steganography Based on Generative Adversarial Networks and Gradient Descent Approximation. IEEE Transactions on Circuits and Systems for Video Technology, 2022, DOI: 10.1109/TCSVT.2022.3161419.
[7] Le Qin, Fei Peng, Min Long, R. Ramachandra, C.Busch. Vulnerabilities of Unattended Face Verification Systems to Facial Components-based Presentation Attacks: An Empirical Study,  ACM Transactions on Privacy and Security, 2022,25(1):1-28, Article No. 4. 
[8] Fei Peng, Zi-xing Lin, Xiang Zhang, Min Long. A semi-fragile reversible watermarking for authenticating 2D engineering graphics based on improved region nesting, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(1): 411-424. 
[9] Fei Peng, B. Long, Min Long. A general region nesting based semi-fragile reversible watermarking for authenticating 3D mesh models, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2021.3052468.
[10] Fei Peng, Bo Long, Min Long. A Semi-fragile Reversible Watermarking for Authenticating 3D Models Based on Virtual Polygon Projection and Double Modulation Strategy, IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2021.3134159.
[11] L. Qin, Fei Peng, S. Venkatesh, R. Ramachandra, Min Long, C. Busch. Low visual distortion and robust morphing attacks based on partial face image manipulation, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021, 3(1): 72-88. 
[12] Fei Peng, Li-Ping Yin, Le-Bing Zhang, Min Long, CGR-GAN: CG facial image regeneration for antiforensics based on generative adversarial network, IEEE Transactions on Multimedia, 2020, 22(10): 2511-2525.   
[13] Fei Peng*, Wen-yan Jiang, Ying Qi, Zi-xing Lin, Min Long, Separable robust reversible watermarking in encrypted 2D vector graphics, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(8):2391-2405.   
[14] Fei Peng, X. Zhang, Z. Lin, Min Long. A tunable selective encryption scheme for H.265/HEVC based on chroma IPM and coefficient scrambling, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(8) : 2765-2780. 
[15] Fei Peng, Zi-Xing Lin, Xiang Zhang, Min Long, Reversible data hiding in encrypted 2D vector graphics based on reversible mapping model for real numbers , IEEE Transactions on Information Forensics and Security, 2019, 14(9): 2400-2411.   
[16] Fei Peng, Jing Yang, Min Long, 3-D printed object authentication based on printing noise and digital signature, IEEE Transactions on Reliability, 2019, 68(1): 342-353.    
[17] Zi-xing Lin, Fei Peng, Min Long, A low-distortion reversible watermarking for 2D engineering graphics based on region nesting, IEEE Transactions on Information Forensics and Security, 2018, 13(9): 2372-2382.   
[18] Xiang Zhang, Fei Peng, Min Long, Robust coverless image steganography based on DCT and LDA topic classification, IEEE Transactions on Multimedia, 2018, 20(12): 3223-3238.   
[19] Fei Peng, Xiao-wen Zhu, Min Long, An ROI privacy protection scheme for H.264 video based on FMO and chaos, IEEE Transactions on Information Forensics and Security, 2013, 8(10): 1688-1699.    

学术兼职

International Journal of Digital Crime and Forensics国际期刊(ESCI, EI)副主编
全国信息隐藏暨多媒体安全专家委员会委员
中国图像图形学会数字媒体取证与安全专业委员会委员
中国图像图形学会视频监控与安全专业委会委员
中国地理信息产业协会地理信息安全技术工作委员会委员
以及曾担任多个权威期刊的客座编辑

CONTACT BY SCHOLAT
想与我进行学术交流?
立即通过学者网的 工具与我联系!
Https://www.scholat.com/eepengf
联系地址 :   广州市黄埔区海思知识中心
扫一扫,访问我的主页
  •  个人简介

  •  研究方向

  •  学习经历

  •  代表性论文

  •  学术兼职

  • Contact by SCHOLAT

SCHOLAT.com 学者网
ABOUT US | SCHOLAT