报告题目: Recent Progress in CNN based Steganalysis

报 告 人: 李斌 副教授 副院长

单 位: 深圳大学

报告时间: 2017年6月2日 (周五) 下午15:30 –16:30

报告地点: 逸夫科教楼408会议室

报告摘要：

Deep learning is successfully employed in most of computer vision related tasks, including image classificaiton, denosing, retrieval, etc. In this talk, the main progresses in CNN (convolutional neural network) based deep learning methods will be briefly introduced. Then the attempts of using CNN in steganalysis will be reviewed and our recent results will be shown.

报告人简介：

Dr. Bin Li is currently an Associate Professor with Shenzhen University and a member of the Shenzhen Key Laboratory of Media Security. He received the B.E. degree in communication engineering and the Ph.D. degree in communication and information system from Sun Yat-sen University, Guangzhou, China, in 2004 and 2009, respectively. He was a Visiting Scholar with the New Jersey Institute of Technology, Newark, NJ, USA, from 2007 to 2008. Dr. Li serves as the Editor of KSII Transactions on Internet and Information Systems, and the reviewer for IEEE T-IP, T-IFS, T-CSVT, and T-MM. He has been awarded Shenzhen High-level Professional in 2015. His current research interests include image processing, multimedia forensics, and machine learning.

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