| A deep learning approach to universal image manipulation detection using a new convolutional layer B Bayar, MC Stamm Proceedings of the 4th ACM workshop on information hiding and multimedia …, 2016 | 905 | 2016 |
| Constrained convolutional neural networks: A new approach towards general purpose image manipulation detection B Bayar, MC Stamm IEEE Transactions on Information Forensics and Security 13 (11), 2691-2706, 2018 | 584 | 2018 |
| Information Forensics: An Overview of the First Decade MC STAMM, MIN WU, K LIU | 465 | 2013 |
| Forensic detection of image manipulation using statistical intrinsic fingerprints MC Stamm, KJR Liu IEEE Transactions on Information Forensics and Security 5 (3), 492-506, 2010 | 393 | 2010 |
| Anti-forensics of digital image compression M Stamm, K Liu Information Forensics and Security, IEEE Transactions on, 1-1, 2011 | 291 | 2011 |
| Robust median filtering forensics using an autoregressive model X Kang, MC Stamm, A Peng, KJR Liu IEEE Transactions on Information Forensics and Security 8 (9), 1456-1468, 2013 | 256 | 2013 |
| Temporal forensics and anti-forensics for motion compensated video MC Stamm, WS Lin, KJR Liu IEEE Transactions on Information Forensics and Security 7 (4), 1315-1329, 2012 | 245 | 2012 |
| Anti-forensics of JPEG compression MC Stamm, SK Tjoa, WS Lin, KJR Liu 2010 IEEE International conference on acoustics, speech and signal …, 2010 | 165 | 2010 |
| Forensic similarity for digital images O Mayer, MC Stamm IEEE Transactions on Information Forensics and Security 15, 1331-1346, 2019 | 155 | 2019 |
| Blind forensics of contrast enhancement in digital images M Stamm, KJR Liu 2008 15th IEEE International Conference on Image Processing, 3112-3115, 2008 | 151 | 2008 |
| Design principles of convolutional neural networks for multimedia forensics B Bayar, MC Stamm Electronic Imaging 29, 77-86, 2017 | 147 | 2017 |
| Undetectable image tampering through JPEG compression anti-forensics MC Stamm, SK Tjoa, WS Lin, KJR Liu 2010 IEEE international conference on image processing, 2109-2112, 2010 | 127 | 2010 |
| Forensic estimation and reconstruction of a contrast enhancement mapping MC Stamm, KJR Liu 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 116 | 2010 |
| Camera model identification framework using an ensemble of demosaicing features C Chen, MC Stamm 2015 IEEE international workshop on information forensics and security (WIFS …, 2015 | 106 | 2015 |
| On the robustness of constrained convolutional neural networks to jpeg post-compression for image resampling detection B Bayar, MC Stamm 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 102 | 2017 |
| Learned forensic source similarity for unknown camera models O Mayer, MC Stamm 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 94 | 2018 |
| Accurate and efficient image forgery detection using lateral chromatic aberration O Mayer, MC Stamm IEEE Transactions on information forensics and security 13 (7), 1762-1777, 2018 | 81 | 2018 |
| Augmented convolutional feature maps for robust cnn-based camera model identification B Bayar, MC Stamm 2017 IEEE International Conference on Image Processing (ICIP), 4098-4102, 2017 | 78 | 2017 |
| Forensics vs. anti-forensics: A decision and game theoretic framework MC Stamm, WS Lin, KJR Liu 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 77 | 2012 |
| Towards open set camera model identification using a deep learning framework B Bayar, MC Stamm 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 75 | 2018 |
K. J. Ray LiuOrigin ResearchVerified email at ieee.org
