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Matthew C. Stamm
Matthew C. Stamm
Associate Professor, Drexel University
Email verificata su drexel.edu - Home page
Titolo
Citata da
Citata da
Anno
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
9202016
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
5962018
Information Forensics: An Overview of the First Decade
MC STAMM, MIN WU, K LIU
4572013
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
3882010
Anti-forensics of digital image compression
M Stamm, K Liu
Information Forensics and Security, IEEE Transactions on, 1-1, 2011
2932011
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
2532013
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
2462012
Anti-forensics of JPEG compression
MC Stamm, SK Tjoa, WS Lin, KJR Liu
2010 IEEE International conference on acoustics, speech and signal …, 2010
1682010
Forensic similarity for digital images
O Mayer, MC Stamm
IEEE Transactions on Information Forensics and Security 15, 1331-1346, 2019
1602019
Blind forensics of contrast enhancement in digital images
M Stamm, KJR Liu
2008 15th IEEE International Conference on Image Processing, 3112-3115, 2008
1502008
Design principles of convolutional neural networks for multimedia forensics
B Bayar, MC Stamm
Electronic Imaging 29, 77-86, 2017
1492017
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
1262010
Forensic estimation and reconstruction of a contrast enhancement mapping
MC Stamm, KJR Liu
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
1152010
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
1052015
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
1022017
Learned forensic source similarity for unknown camera models
O Mayer, MC Stamm
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
942018
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
792017
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
782018
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
782012
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
772018
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