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Matthew C. Stamm
Matthew C. Stamm
Associate Professor, Drexel University
Verifisert e-postadresse på drexel.edu - Startside
Tittel
Sitert av
Sitert av
År
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
6092016
Information Forensics: An Overview of the First Decade
MC STAMM, MIN WU, K LIU
3912013
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
3632010
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
3382018
Anti-forensics of digital image compression
M Stamm, K Liu
Information Forensics and Security, IEEE Transactions on, 1-1, 2011
2592011
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
2302013
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
2112012
Anti-forensics of JPEG compression
MC Stamm, SK Tjoa, WS Lin, KJR Liu
2010 IEEE International conference on acoustics, speech and signal …, 2010
1442010
Blind forensics of contrast enhancement in digital images
M Stamm, KJR Liu
2008 15th IEEE International Conference on Image Processing, 3112-3115, 2008
1342008
Design principles of convolutional neural networks for multimedia forensics
B Bayar, MC Stamm
Electronic Imaging 2017 (7), 77-86, 2017
1242017
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
1182010
Forensic estimation and reconstruction of a contrast enhancement mapping
MC Stamm, KJR Liu
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
1022010
Forensic similarity for digital images
O Mayer, MC Stamm
IEEE Transactions on Information Forensics and Security 15, 1331-1346, 2019
932019
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
922015
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
852017
Learned forensic source similarity for unknown camera models
O Mayer, MC Stamm
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
802018
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
722018
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
712012
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
692017
Anti-forensics of median filtering
ZH Wu, MC Stamm, KJR Liu
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
582013
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Artikler 1–20