Matthew C. Stamm

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 57

Top Topics

Convolutional Neural Networks

Image Manipulation

Diffusion Models

Top Venues

Media Watermarking, Security, and Forensics

IEEE Trans. Inf. Forensics Secur.

Publications

Shengbang Fang, Matthew C. Stamm
Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Tai D. Nguyen, Shengbang Fang, Matthew C. Stamm
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces. WACV (2024)
Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm
Beyond Deepfake Images: Detecting AI-Generated Videos. CoRR (2024)
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 (2024)
Danial Samadi Vahdati, Matthew C. Stamm
Detecting GAN-generated synthetic images using semantic inconsistencies. Media Watermarking, Security, and Forensics (2023)
Shengbang Fang, Tai D. Nguyen, Matthew C. Stamm
Open Set Synthetic Image Source Attribution. CoRR (2023)
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) (2023)
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 (2023)
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 (2023)
Shengbang Fang, Tai D. Nguyen, Matthew C. Stamm
Open Set Synthetic Image Source Attribution. BMVC (2023)
Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu
Semantic Adversarial Attacks via Diffusion Models. BMVC (2023)
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)
Danial Samadi Vahdati, Tai D. Nguyen, Matthew C. Stamm
Defending Low-Bandwidth Talking Head Videoconferencing Systems From Real-Time Puppeteering Attacks. CVPR Workshops (2023)
Davide Salvi, Brian Hosler, Paolo Bestagini, Matthew C. Stamm, Stefano Tubaro
TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection. CoRR (2022)
Emanuele Conti, Davide Salvi, Clara Borrelli, Brian Hosler, Paolo Bestagini, Fabio Antonacci, Augusto Sarti, Matthew C. Stamm, Stefano Tubaro
Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach. ICASSP (2022)
Shengbang Fang, Matthew C. Stamm
Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces. CoRR (2022)
Xinwei Zhao, Matthew C. Stamm
Making Generated Images Hard to Spot: A Transferable Attack on Synthetic Image Detectors. ICPR Workshops (4) (2022)
Tai D. Nguyen, Shengbang Fang, Matthew C. Stamm
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces. CoRR (2022)
Xinwei Zhao, Chen Chen, Matthew C. Stamm
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network. CoRR (2021)
Xinwei Zhao, Matthew C. Stamm
Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors. CoRR (2021)
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)
Xinwei Zhao, Matthew C. Stamm
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs. CoRR (2021)
Chen Chen, Matthew C. Stamm
Robust camera model identification using demosaicing residual features. Multim. Tools Appl. 80 (8) (2021)
Xinwei Zhao, Matthew C. Stamm
Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers. CoRR (2021)
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)
Owen Mayer, Brian C. Hosler, Matthew C. Stamm
Open Set Video Camera Model Verification. ICASSP (2020)
Owen Mayer, Matthew C. Stamm
Exposing Fake Images With Forensic Similarity Graphs. IEEE J. Sel. Top. Signal Process. 14 (5) (2020)
Brian C. Hosler, Matthew C. Stamm
Detecting Video Speed Manipulation. CVPR Workshops (2020)
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)
Xinwei Zhao, Matthew C. Stamm
Defenses Against Multi-sticker Physical Domain Attacks on Classifiers. ECCV Workshops (1) (2020)
Owen Mayer, Matthew C. Stamm
Forensic Similarity for Digital Images. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Owen Mayer, Matthew C. Stamm
Forensic Similarity for Digital Images. CoRR (2019)
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 (2019)
Salvador DeCelles, Matthew C. Stamm, Nagarajan Kandasamy
Data Reduction, Compression, and Recovery for Online Performance Monitoring. CLOUD (2019)
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) (2019)
Owen Mayer, Matthew C. Stamm
Exposing Fake Images with Forensic Similarity Graphs. CoRR (2019)
Chen Chen, Xinwei Zhao, Matthew C. Stamm
Mislgan: An Anti-Forensic Camera Model Falsification Framework Using A Generative Adversarial Network. ICIP (2018)
Mauro Barni, Matthew C. Stamm, Benedetta Tondi
Adversarial Multimedia Forensics: Overview and Challenges Ahead. EUSIPCO (2018)
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)
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) (2018)
Belhassen Bayar, Matthew C. Stamm
Towards Open Set Camera Model Identification Using a Deep Learning Framework. ICASSP (2018)
Owen Mayer, Matthew C. Stamm
Accurate and Efficient Image Forgery Detection Using Lateral Chromatic Aberration. IEEE Trans. Inf. Forensics Secur. 13 (7) (2018)
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) (2018)
Owen Mayer, Matthew C. Stamm
Learned Forensic Source Similarity for Unknown Camera Models. ICASSP (2018)
Owen Mayer, Belhassen Bayar, Matthew C. Stamm
Learning Unified Deep-Features for Multiple Forensic Tasks. IH&MMSec (2018)
Belhassen Bayar, Matthew C. Stamm
On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection. ICASSP (2017)
Chen Chen, Xinwei Zhao, Matthew C. Stamm
Detecting anti-forensic attacks on demosaicing-based camera model identification. ICIP (2017)
Belhassen Bayar, Matthew C. Stamm
Augmented convolutional feature maps for robust CNN-based camera model identification. ICIP (2017)
Belhassen Bayar, Matthew C. Stamm
Design Principles of Convolutional Neural Networks for Multimedia Forensics. Media Watermarking, Security, and Forensics (2017)
Belhassen Bayar, Matthew C. Stamm
A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks. IH&MMSec (2017)
Owen Mayer, Matthew C. Stamm
Countering Anti-Forensics of Lateral Chromatic Aberration. IH&MMSec (2017)
Chen Chen, Matthew C. Stamm
Image filter identification using demosaicing residual features. ICIP (2017)
Xinwei Zhao, Matthew C. Stamm
Computationally efficient demosaicing filter estimation for forensic camera model identification. ICIP (2016)
Belhassen Bayar, Matthew C. Stamm
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer. IH&MMSec (2016)
Salvador DeCelles, Tingshan Huang, Matthew C. Stamm, Nagarajan Kandasamy
Detecting Incipient Faults in Software Systems: A Compressed Sampling-Based Approach. CLOUD (2016)
Owen Mayer, Matthew C. Stamm
Improved forgery detection with lateral chromatic aberration. ICASSP (2016)
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) (2016)
Salvador DeCelles, Matthew C. Stamm, Nagarajan Kandasamy
Efficient Online Performance Monitoring of Computing Systems Using Predictive Models. UCC (2015)
Owen Mayer, Matthew C. Stamm
Anti-forensics of chromatic aberration. Media Watermarking, Security, and Forensics (2015)
Chen Chen, Matthew C. Stamm
Camera model identification framework using an ensemble of demosaicing features. WIFS (2015)
Xiaoyu Chu, Yan Chen, Matthew C. Stamm, K. J. Ray Liu
Information theoretical limit of compression forensics. ICASSP (2014)
Matthew C. Stamm, Xiaoyu Chu, K. J. Ray Liu
Forensically determining the order of signal processing operations. WIFS (2013)
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) (2013)
Matthew C. Stamm, K. J. Ray Liu
Protection against reverse engineering in digital cameras. ICASSP (2013)
Matthew C. Stamm, Min Wu, Kuo J. Ray Liu
Information Forensics: An Overview of the First Decade. IEEE Access 1 (2013)
Xiaoyu Chu, Matthew C. Stamm, Yan Chen, K. J. Ray Liu
Concealability-rate-distortion tradeoff in image compression anti-forensics. ICASSP (2013)
Zhung-Han Wu, Matthew C. Stamm, K. J. Ray Liu
Anti-forensics of median filtering. ICASSP (2013)
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) (2012)
Xiaoyu Chu, Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu
Forensic identification of compressively sensed images. ICASSP (2012)
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)
Xiaoyu Chu, Matthew C. Stamm, K. J. Ray Liu
Forensic identification of compressively sensed signals. ICIP (2012)
Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu
Forensics vs. anti-forensics: A decision and game theoretic framework. ICASSP (2012)
Matthew C. Stamm, K. J. Ray Liu
Anti-forensics for frame deletion/addition in MPEG video. ICASSP (2011)
Matthew C. Stamm, K. J. Ray Liu
Anti-Forensics of Digital Image Compression. IEEE Trans. Inf. Forensics Secur. 6 (3-2) (2011)
Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, K. J. Ray Liu
Undetectable image tampering through JPEG compression anti-forensics. ICIP (2010)
Matthew C. Stamm, K. J. Ray Liu
Wavelet-based image compression anti-forensics. ICIP (2010)
Matthew C. Stamm, K. J. Ray Liu
Forensic estimation and reconstruction of a contrast enhancement mapping. ICASSP (2010)
Steven K. Tjoa, Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu
Harmonic variable-size dictionary learning for music source separation. ICASSP (2010)
Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, K. J. Ray Liu
Anti-forensics of JPEG compression. ICASSP (2010)
Matthew C. Stamm, K. J. Ray Liu
Forensic detection of image manipulation using statistical intrinsic fingerprints. IEEE Trans. Inf. Forensics Secur. 5 (3) (2010)
Matthew C. Stamm, K. J. Ray Liu
Blind forensics of contrast enhancement in digital images. ICIP (2008)