Matthew C. Stamm, Ph.D.

Affiliations: 
2012 Electrical Engineering University of Maryland, College Park, College Park, MD 
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"Matthew Stamm"

Parents

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K. J. Ray Liu grad student 2012 University of Maryland
 (Digital multimedia forensics and anti-forensics.)

Children

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Belhassen Bayar grad student 2018 Drexel
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Publications

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Mayer O, Stamm MC. (2020) Forensic Similarity for Digital Images Ieee Transactions On Information Forensics and Security. 15: 1331-1346
Mayer O, Stamm MC. (2020) Exposing Fake Images with Forensic Similarity Graphs Ieee Journal of Selected Topics in Signal Processing. 14: 1049-1064
Chen C, Zhao X, Stamm MC. (2019) Generative Adversarial Attacks Against Deep-Learning-Based Camera Model Identification Ieee Transactions On Information Forensics and Security. 1-1
Huang T, Kandasamy N, Sethu H, et al. (2019) An Efficient Strategy for Online Performance Monitoring of Datacenters via Adaptive Sampling Ieee Transactions On Cloud Computing. 7: 155-169
Hosler BC, Zhao X, Mayer O, et al. (2019) The Video Authentication and Camera Identification Database: A New Database for Video Forensics Ieee Access. 7: 76937-76948
Bayar B, Stamm MC. (2018) Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks Electronic Imaging. 2018: 211-1-211-9
Bayar B, Stamm MC. (2018) Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection Ieee Transactions On Information Forensics and Security. 13: 2691-2706
Mayer O, Stamm MC. (2018) Accurate and Efficient Image Forgery Detection Using Lateral Chromatic Aberration Ieee Transactions On Information Forensics and Security. 13: 1762-1777
Stamm M, Bestagini P, Marcenaro L, et al. (2018) Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions] Ieee Signal Processing Magazine. 35: 168-174
Bayar B, Stamm M. (2017) Design Principles of Convolutional Neural Networks for Multimedia Forensics Electronic Imaging. 2017: 77-86
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