研究领域
研究兴趣在以下领域：多媒体取证、深度学习、机器学习、图像/音频/视频信号处理、模式识别。近五年来一直从事深度学习框架（包括深度卷积神经网络、递归神经网络、强化学习模型）在多媒体取证领域的应用。并成功的把研究成果和产业化相结合。部分研究成果已经应用于和阿里巴巴的合作项目中
科研项目：
1. 国家自然科学基金面上项目，“基于张量分解框架的深度学习信息隐藏对抗研究”，（61772349）2018.01-2021.12，（主持）；
2. 国家自然科学基金——通用技术基础研究联合基金重点项目，“基于大数据的信息隐藏与对抗技术”，（U1636202）2017.1-2020.12，（排名第四）；
3. 国家自然科学基金青年基金， “大尺度分布式深度学习框架在隐写分析上的应用”，（61402295） 2015.01-2017.12，（主持）；
4. 广东省深圳市基础研究项目， “基于大尺度分布式深度学习框架的隐写分析研究”，（JCYJ20140418182819173） 2014.09-2016.09，（主持）；
5. 国家自然科学基金青年基金 “特征向量变化可控的安全隐写研究”，（61103174） 2012.01-2014.12，（排名第二）；
专利：中国专利，谭舜泉，李振军，莫显博，欧培，隐藏模型训练及使用方法、装置和计算机可读存储介质，已公开，2018.6.1，201810555366.3
中国专利， 张浩杰， 谭舜泉，李斌，黄继武，一种基于频域分析的图像隐写方法及系统，已公开，2016.8.10，201610653147.X
中国专利， 曾吉申， 谭舜泉，李斌，黄继武，一种基于深度学习模型的隐写图像检测方法及系统，已公开，2016.10.23，201610923908.9
中国专利，陈盛达，黄继武，谭舜泉，一种H264视频内容篡改检测方法，已授权，2014.8.12，ZL201410395140.3
近期论文
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期刊论文：
J. Zeng, S. Tan*, G. Liu, B. Li, J. Huang. WISERNet: Wider Separate-then-reunion Network for Steganalysis of Color Images [J]. IEEE Transactions on Information Forensics and Security, 2019. (ACCEPTED) （CCF A类期刊/中科院SCI小类一区）
W. Tang, B. Li, S. Tan, M. Barni, J. Huang. CNN-based Adversarial Embedding for Image Steganography [J]. IEEE Transactions on Information Forensics and Security, 2019. (ACCEPTED)（CCF A类期刊/中科院SCI小类一区）
J. Zeng, S. Tan*, B. Li, J. Huang. Large-scale JPEG Image Steganalysis using Hybrid Deep-learning Framework [J]. IEEE Transactions on Information Forensics and Security, 2018, 13(5): 1242-1257.（CCF A类期刊/中科院SCI小类一区）
B. Li, Z. Li, S. Zhou, S. Tan, X. Zhang. New Steganalytic Features for Spatial Image Steganography based on Derivative Filters and Threshold LBP Operator [J]. IEEE Transactions on Information Forensics and Security, 2018, 13(5): 1242-1257.（CCF A类期刊/中科院SCI小类一区）
B. Li, W. Wei, A. Ferreira, S. Tan. ReST-Net: Diverse Activation Modules and Parallel Subnets-Based CNN for Spatial Image Steganalysis [J]. IEEE Signal Processing Letters, 2018, 25(5): 650-654.（CCF C类期刊/中科院SCI三区）
史晓裕, 李斌, 谭舜泉. 深度学习空域隐写分析的预处理层 [J]. 应用科学学报, 2018, 36(2)：309-320.
S. Tan, H. Zhang, B. Li, J. Huang. Pixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganography[J]. IEEE Transactions on Information Forensics and Security, 2017, 12(7): 1658-1670.（CCF A类期刊/中科院SCI小类一区）
W. Tang, S. Tan*, B. Li, J. Huang. Automatic Steganographic Distortion Learning Using a Generative Adversarial Network [J]. IEEE Signal Processing Letters, 2017, 24(10): 1547–1551.（CCF C类期刊/中科院SCI三区）
S. Chen, S. Tan*, B. Li, J. Huang. Automatic Detection of Object-based Forgery in Advanced Video [J]. IEEE Transactions on Circuits and Systems for Video Technology. 2016, 26(11): 2138-2151.（CCF B类期刊/中科院SCI二区）
B. Li, T.-T. Ng, X. Li, S. Tan, J. Huang. Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation [J]. IEEE Transactions on Image Processing. 2015, 24(5): 1471–1484.（CCF A类期刊/中科院SCI二区）
B. Li, M. Wang, X. Li, S. Tan, J. Huang, A Strategy of Clustering Modification Directions in Spatial Image Steganography [J]. IEEE Transactions on Information Forensics and Security. 2015, 10(9): 1905–1917.（CCF A类期刊/中科院SCI小类一区）
B. Li, T.-T. Ng, X. Li, S. Tan, J. Huang. Revealing the Trace of High-quality JPEG Compression through Quantization Noise Analysis [J]. IEEE Transactions on Information Forensics and Security. 2015 10(3): 558-573.（CCF A类期刊/中科院SCI小类一区）
B. Li, S. Tan, M. Wang, J. Huang. Investigation on Cost Assignment in Spatial Image Steganography [J]. IEEE Transactions on Information Forensics and Security. 2014 9(8): 1264–1277.（CCF A类期刊/中科院SCI小类一区）
S. Tan, B. Li. Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-spline Fitting [J]. IEEE Signal Processing Letters. 2012, 19(6): 336-339.（CCF C类期刊/中科院SCI三区）
会议论文：
L. Zhuo, S. Tan*, J. Zeng, B. Li, “Fake Colorized Image Detection with Channel-wise Convolution based Deep-learning Framework”, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2018, Honolulu, Hawaii, USA, November, 12-15, 2018.
H. Zhang, B. Li, S. Tan. “A New Steganographic Distortion Function with Explicit Considerations of Modification Interactions”, International Conference on Cloud Computing and Security, Haikou, China, June 8-10, 2018.
S. Zhou, W. Tang, S. Tan, B. Li. “Content-adaptive Steganalysis via Augmented Utilization of Selection-channel Information”, 17th International Workshop on Digital Forensics and Watermarking, Jeju, Korea, October 22-24, 2018.
H. Li, H. Chen, B. Li, S. Tan. “Can Forensic Detectors Identify GAN Generated Images?”, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2018, Honolulu, Hawaii, USA, November, 12-15, 2018.
Y. Huang, S. Tan, B. Li, J. Huang. “VPCID-A VoIP Phone Call Identification Database”, 17th International Workshop on Digital Forensics and Watermarking, Jeju, Korea, October 22-24, 2018.
J. Zeng, S. Tan*, B. Li, “Pre-training via Fitting Deep Neural Network to Rich-model Features Extraction Procedure and Its Effect on Deep Learning for Steganalysis”, in Proc. Media Watermarking, Security, and Forensics, Part of IS&T International Symposium on Electronic Imaging (EI'2017), Burlingame, CA, Juanuary, 29-February, 2, 2017.
S. Tan, S. Chen, B. Li, “GOP Based Automatic Detection of Object-based Forgery in Advanced Video”, in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2015, HongKong, China, December 16-19, 2015.
S. Tan, B. Li, “Stacked Convolutional Auto-Encoders for Steganalysis of Digital Images”, in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2014, Siem Reap, Cambodia, December 9-12, 2014.
S. Tan, B. Li, “Targeted Steganalysis of Adaptive Pixel-value Differencing Steganography”, in Proc. 2012 IEEE International Conference on Image Processing. Orlando, Florida, USA, Oct. 2012.
S. Tan, “Steganalysis of LSB Matching Revisited for Consecutive Pixels using B-spline Functions”, Lecture Notes in Computer Science. v7128 LNCS, Digital Watermarking - 10th International Workshop, IWDW 2011, 2012, pp 112-126.
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