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ORCIDMatthew C. Stamm
Matthew Christopher Stamm
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- affiliation: Drexel University, Philadelphia, PA, USA
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2020 – today
- 2024
[j19]Shengbang Fang
, Matthew C. Stamm:
Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces. IEEE Trans. Inf. Forensics Secur. 19: 2143-2156 (2024)- [c54]Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm:
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data. CVPR Workshops 2024: 4334-4344 - [c53]Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm:
Beyond Deepfake Images: Detecting AI-Generated Videos. CVPR Workshops 2024: 4397-4408 - [c52]Tai D. Nguyen, Shengbang Fang, Matthew C. Stamm:
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces. WACV 2024: 8548-8558 - [i14]Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm:
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data. CoRR abs/2404.08814 (2024) - [i13]Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm:
Beyond Deepfake Images: Detecting AI-Generated Videos. CoRR abs/2404.15955 (2024) - 2023
- [j18]Davide Salvi, Brian C. Hosler, Paolo Bestagini, Matthew C. Stamm, Stefano Tubaro:
TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection. IEEE Access 11: 50851-50866 (2023) - [j17]Davide Salvi, Clara Borrelli, Paolo Bestagini, Fabio Antonacci, Matthew C. Stamm, Lucio Marcenaro, Angshul Majumdar:
Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 40(6): 92-98 (2023) - [c51]Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu:
Semantic Adversarial Attacks via Diffusion Models. BMVC 2023: 271 - [c50]Shengbang Fang, Tai D. Nguyen, Matthew C. Stamm:
Open Set Synthetic Image Source Attribution. BMVC 2023: 659 - [c49]Danial Samadi Vahdati, Tai D. Nguyen, Matthew C. Stamm:
Defending Low-Bandwidth Talking Head Videoconferencing Systems From Real-Time Puppeteering Attacks. CVPR Workshops 2023: 983-992 - [c48]Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm:
Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools. IH&MMSec 2023: 145-150 - [c47]Danial Samadi Vahdati, Matthew C. Stamm:
Detecting GAN-generated synthetic images using semantic inconsistencies. Media Watermarking, Security, and Forensics 2023: 1-6 - [i12]Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm:
Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools. CoRR abs/2305.05784 (2023) - [i11]Shengbang Fang, Tai D. Nguyen, Matthew C. Stamm:
Open Set Synthetic Image Source Attribution. CoRR abs/2308.11557 (2023) - [i10]Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu:
Semantic Adversarial Attacks via Diffusion Models. CoRR abs/2309.07398 (2023) - 2022
- [c46]Emanuele Conti, Davide Salvi, Clara Borrelli, Brian C. Hosler, Paolo Bestagini, Fabio Antonacci, Augusto Sarti, Matthew C. Stamm, Stefano Tubaro:
Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach. ICASSP 2022: 8962-8966 - [c45]Xinwei Zhao, Matthew C. Stamm:
Making Generated Images Hard to Spot: A Transferable Attack on Synthetic Image Detectors. ICPR Workshops (4) 2022: 70-84 - [d3]Brian C. Hosler, Owen Mayer, Xinwei Zhao, Chen Chen, James A. Shackleford, Matthew C. Stamm:
Video-ACID. IEEE DataPort, 2022
- [d2]Davide Salvi, Brian C. Hosler, Paolo Bestagini, Matthew C. Stamm, Stefano Tubaro:
TIMIT-TTS: a Text-to-Speech Dataset for Synthetic Speech Detection. Zenodo, 2022 - [i9]Davide Salvi, Brian C. Hosler, Paolo Bestagini, Matthew C. Stamm, Stefano Tubaro:
TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection. CoRR abs/2209.08000 (2022) - [i8]Shengbang Fang, Matthew C. Stamm:
Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces. CoRR abs/2211.12314 (2022) - [i7]Tai D. Nguyen, Shengbang Fang, Matthew C. Stamm:
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces. CoRR abs/2211.15775 (2022) - 2021
- [j16]Chen Chen, Matthew C. Stamm:
Robust camera model identification using demosaicing residual features. Multim. Tools Appl. 80(8): 11365-11393 (2021) - [c44]Brian C. Hosler, Davide Salvi, Anthony Murray, Fabio Antonacci, Paolo Bestagini, Stefano Tubaro, Matthew C. Stamm:
Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes via Emotional Inconsistencies. CVPR Workshops 2021: 1013-1022 - [i6]Xinwei Zhao, Chen Chen, Matthew C. Stamm:
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network. CoRR abs/2101.09568 (2021) - [i5]Xinwei Zhao, Matthew C. Stamm:
Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers. CoRR abs/2101.11060 (2021) - [i4]Xinwei Zhao, Matthew C. Stamm:
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs. CoRR abs/2101.11081 (2021) - [i3]Xinwei Zhao, Matthew C. Stamm:
Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors. CoRR abs/2104.12069 (2021) - 2020
- [j15]Owen Mayer, Matthew C. Stamm:
Exposing Fake Images With Forensic Similarity Graphs. IEEE J. Sel. Top. Signal Process. 14(5): 1049-1064 (2020) - [j14]Owen Mayer, Matthew C. Stamm:
Forensic Similarity for Digital Images. IEEE Trans. Inf. Forensics Secur. 15: 1331-1346 (2020) - [c43]Brian C. Hosler, Matthew C. Stamm:
Detecting Video Speed Manipulation. CVPR Workshops 2020: 2860-2869 - [c42]Xinwei Zhao, Matthew C. Stamm:
Defenses Against Multi-sticker Physical Domain Attacks on Classifiers. ECCV Workshops (1) 2020: 202-219 - [c41]Owen Mayer, Brian C. Hosler, Matthew C. Stamm:
Open Set Video Camera Model Verification. ICASSP 2020: 2962-2966 - [c40]Shengbang Fang, Ronnie A. Sebro, Matthew C. Stamm:
A Deep Learning Approach to MRI Scanner Manufacturer and Model Identification. Media Watermarking, Security, and Forensics 2020 - [c39]Xinwei Zhao, Matthew C. Stamm:
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs. Media Watermarking, Security, and Forensics 2020
2010 – 2019
- 2019
- [j13]Brian C. Hosler, Xinwei Zhao, Owen Mayer, Chen Chen, James A. Shackleford, Matthew C. Stamm:
The Video Authentication and Camera Identification Database: A New Database for Video Forensics. IEEE Access 7: 76937-76948 (2019) - [j12]Tingshan Huang, Nagarajan Kandasamy, Harish Sethu, Matthew C. Stamm:
An Efficient Strategy for Online Performance Monitoring of Datacenters via Adaptive Sampling. IEEE Trans. Cloud Comput. 7(1): 155-169 (2019) - [c38]Salvador DeCelles, Matthew C. Stamm, Nagarajan Kandasamy:
Data Reduction, Compression, and Recovery for Online Performance Monitoring. CLOUD 2019: 256-263 - [c37]Brian C. Hosler, Owen Mayer, Belhassen Bayar, Xinwei Zhao, Chen Chen, James A. Shackleford, Matthew Christopher Stamm:
A Video Camera Model Identification System Using Deep Learning and Fusion. ICASSP 2019: 8271-8275 - [i2]Owen Mayer, Matthew C. Stamm:
Forensic Similarity for Digital Images. CoRR abs/1902.04684 (2019) - [i1]Owen Mayer, Matthew C. Stamm:
Exposing Fake Images with Forensic Similarity Graphs. CoRR abs/1912.02861 (2019) - 2018
- [j11]Matthew C. Stamm, Paolo Bestagini, Lucio Marcenaro, Patrizio Campisi:
Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 35(5): 168-174 (2018) - [j10]Owen Mayer, Matthew C. Stamm:
Accurate and Efficient Image Forgery Detection Using Lateral Chromatic Aberration. IEEE Trans. Inf. Forensics Secur. 13(7): 1762-1777 (2018) - [j9]Belhassen Bayar, Matthew C. Stamm:
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection. IEEE Trans. Inf. Forensics Secur. 13(11): 2691-2706 (2018) - [c36]Mauro Barni, Matthew C. Stamm, Benedetta Tondi:
Adversarial Multimedia Forensics: Overview and Challenges Ahead. EUSIPCO 2018: 962-966 - [c35]Belhassen Bayar, Matthew C. Stamm:
Towards Open Set Camera Model Identification Using a Deep Learning Framework. ICASSP 2018: 2007-2011 - [c34]Owen Mayer, Matthew C. Stamm:
Learned Forensic Source Similarity for Unknown Camera Models. ICASSP 2018: 2012-2016 - [c33]Chen Chen, Xinwei Zhao, Matthew C. Stamm:
Mislgan: An Anti-Forensic Camera Model Falsification Framework Using A Generative Adversarial Network. ICIP 2018: 535-539 - [c32]Owen Mayer, Belhassen Bayar, Matthew C. Stamm:
Learning Unified Deep-Features for Multiple Forensic Tasks. IH&MMSec 2018: 79-84 - [c31]Belhassen Bayar, Matthew C. Stamm:
Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks. Media Watermarking, Security, and Forensics 2018 - [d1]Matthew C. Stamm, Paolo Bestagini:
IEEE Signal Processing Cup 2018 Database - Forensic Camera Model Identification. IEEE DataPort, 2018 - 2017
- [c30]Belhassen Bayar, Matthew C. Stamm:
On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection. ICASSP 2017: 2152-2156 - [c29]Chen Chen, Xinwei Zhao, Matthew C. Stamm:
Detecting anti-forensic attacks on demosaicing-based camera model identification. ICIP 2017: 1512-1516 - [c28]Belhassen Bayar, Matthew C. Stamm:
Augmented convolutional feature maps for robust CNN-based camera model identification. ICIP 2017: 4098-4102 - [c27]Chen Chen, Matthew C. Stamm:
Image filter identification using demosaicing residual features. ICIP 2017: 4103-4107 - [c26]Owen Mayer, Matthew C. Stamm:
Countering Anti-Forensics of Lateral Chromatic Aberration. IH&MMSec 2017: 15-20 - [c25]Belhassen Bayar, Matthew C. Stamm:
A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks. IH&MMSec 2017: 147-157 - [c24]Belhassen Bayar, Matthew C. Stamm:
Design Principles of Convolutional Neural Networks for Multimedia Forensics. Media Watermarking, Security, and Forensics 2017: 77-86 - [e1]Matthew C. Stamm, Matthias Kirchner, Sviatoslav Voloshynovskiy:
Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security, IH&MMSec 2017, Philadelphia, PA, USA, June 20-22, 2017. ACM 2017, ISBN 978-1-4503-5061-7 [contents] - 2016
- [j8]Xiaoyu Chu, Yan Chen, Matthew C. Stamm, K. J. Ray Liu:
Information Theoretical Limit of Media Forensics: The Forensicability. IEEE Trans. Inf. Forensics Secur. 11(4): 774-788 (2016) - [c23]Salvador DeCelles, Tingshan Huang, Matthew C. Stamm, Nagarajan Kandasamy:
Detecting Incipient Faults in Software Systems: A Compressed Sampling-Based Approach. CLOUD 2016: 303-310 - [c22]Owen Mayer, Matthew C. Stamm:
Improved forgery detection with lateral chromatic aberration. ICASSP 2016: 2024-2028 - [c21]Xinwei Zhao, Matthew C. Stamm:
Computationally efficient demosaicing filter estimation for forensic camera model identification. ICIP 2016: 151-155 - [c20]Belhassen Bayar, Matthew C. Stamm:
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer. IH&MMSec 2016: 5-10 - 2015
- [j7]Xiaoyu Chu, Matthew Christopher Stamm, K. J. Ray Liu:
Compressive Sensing Forensics. IEEE Trans. Inf. Forensics Secur. 10(7): 1416-1431 (2015) - [j6]Xiaoyu Chu, Matthew Christopher Stamm, Yan Chen, K. J. Ray Liu:
On Antiforensic Concealability With Rate-Distortion Tradeoff. IEEE Trans. Image Process. 24(3): 1087-1100 (2015) - [c19]Owen Mayer, Matthew C. Stamm:
Anti-forensics of chromatic aberration. Media Watermarking, Security, and Forensics 2015: 94090M - [c18]Salvador DeCelles, Matthew C. Stamm, Nagarajan Kandasamy:
Efficient Online Performance Monitoring of Computing Systems Using Predictive Models. UCC 2015: 152-161 - [c17]Chen Chen, Matthew C. Stamm:
Camera model identification framework using an ensemble of demosaicing features. WIFS 2015: 1-6 - 2014
- [c16]Xiaoyu Chu, Yan Chen, Matthew C. Stamm, K. J. Ray Liu:
Information theoretical limit of compression forensics. ICASSP 2014: 2689-2693 - 2013
- [j5]Matthew C. Stamm, Min Wu, Kuo J. Ray Liu:
Information Forensics: An Overview of the First Decade. IEEE Access 1: 167-200 (2013) - [j4]Xiangui Kang, Matthew C. Stamm, Anjie Peng, K. J. Ray Liu:
Robust Median Filtering Forensics Using an Autoregressive Model. IEEE Trans. Inf. Forensics Secur. 8(9): 1456-1468 (2013) - [c15]Zhung-Han Wu, Matthew C. Stamm, K. J. Ray Liu:
Anti-forensics of median filtering. ICASSP 2013: 3043-3047 - [c14]Xiaoyu Chu, Matthew C. Stamm, Yan Chen, K. J. Ray Liu:
Concealability-rate-distortion tradeoff in image compression anti-forensics. ICASSP 2013: 3063-3067 - [c13]Matthew C. Stamm, K. J. Ray Liu:
Protection against reverse engineering in digital cameras. ICASSP 2013: 8702-8706 - [c12]Matthew C. Stamm, Xiaoyu Chu, K. J. Ray Liu:
Forensically determining the order of signal processing operations. WIFS 2013: 162-167 - 2012
- [b1]Matthew Christopher Stamm:
Digital Multimedia Forensics and Anti-Forensics. University of Maryland, College Park, MD, USA, 2012 - [j3]Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu:
Temporal Forensics and Anti-Forensics for Motion Compensated Video. IEEE Trans. Inf. Forensics Secur. 7(4): 1315-1329 (2012) - [c11]Xiangui Kang, Matthew C. Stamm, Anjie Peng, K. J. Ray Liu:
Robust median filtering forensics based on the autoregressive model of median filtered residual. APSIPA 2012: 1-9 - [c10]Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu:
Forensics vs. anti-forensics: A decision and game theoretic framework. ICASSP 2012: 1749-1752 - [c9]Xiaoyu Chu, Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu:
Forensic identification of compressively sensed images. ICASSP 2012: 1837-1840 - [c8]Xiaoyu Chu, Matthew C. Stamm, K. J. Ray Liu:
Forensic identification of compressively sensed signals. ICIP 2012: 257-260 - 2011
- [j2]Matthew C. Stamm, K. J. Ray Liu:
Anti-Forensics of Digital Image Compression. IEEE Trans. Inf. Forensics Secur. 6(3-2): 1050-1065 (2011) - [c7]Matthew C. Stamm, K. J. Ray Liu:
Anti-forensics for frame deletion/addition in MPEG video. ICASSP 2011: 1876-1879 - 2010
- [j1]Matthew C. Stamm, K. J. Ray Liu:
Forensic detection of image manipulation using statistical intrinsic fingerprints. IEEE Trans. Inf. Forensics Secur. 5(3): 492-506 (2010) - [c6]Steven K. Tjoa, Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu:
Harmonic variable-size dictionary learning for music source separation. ICASSP 2010: 413-416 - [c5]Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, K. J. Ray Liu:
Anti-forensics of JPEG compression. ICASSP 2010: 1694-1697 - [c4]Matthew C. Stamm, K. J. Ray Liu:
Forensic estimation and reconstruction of a contrast enhancement mapping. ICASSP 2010: 1698-1701 - [c3]Matthew C. Stamm, K. J. Ray Liu:
Wavelet-based image compression anti-forensics. ICIP 2010: 1737-1740 - [c2]Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, K. J. Ray Liu:
Undetectable image tampering through JPEG compression anti-forensics. ICIP 2010: 2109-2112
2000 – 2009
- 2008
- [c1]Matthew C. Stamm, K. J. Ray Liu:
Blind forensics of contrast enhancement in digital images. ICIP 2008: 3112-3115
Coauthor Index
K. J. Ray Liu
aka: Kuo J. Ray Liu
aka: Kuo J. Ray Liu
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last updated on 2024-10-11 17:28 CEST by the dblp team
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