Blind forensics of contrast enhancement in digital images. - Matthew C. Stamm; K. J. Ray Liu (ICIP, 2008)

Forensic estimation and reconstruction of a contrast enhancement mapping. - Matthew C. Stamm; K. J. Ray Liu (ICASSP, 2010)

Anti-forensics of JPEG compression. - Matthew C. Stamm; Steven K. Tjoa; W. Sabrina Lin; K. J. Ray Liu (ICASSP, 2010)

Harmonic variable-size dictionary learning for music source separation. - Steven K. Tjoa; Matthew C. Stamm; W. Sabrina Lin; K. J. Ray Liu (ICASSP, 2010)

Wavelet-based image compression anti-forensics. - Matthew C. Stamm; K. J. Ray Liu (ICIP, 2010)

Undetectable image tampering through JPEG compression anti-forensics. - Matthew C. Stamm; Steven K. Tjoa; W. Sabrina Lin; K. J. Ray Liu (ICIP, 2010)

Forensic detection of image manipulation using statistical intrinsic fingerprints. - Matthew C. Stamm; K. J. Ray Liu (IEEE Trans. Inf. Forensics Secur., 2010)

Anti-forensics for frame deletion/addition in MPEG video. - Matthew C. Stamm; K. J. Ray Liu (ICASSP, 2011)

Anti-Forensics of Digital Image Compression. - Matthew C. Stamm; K. J. Ray Liu (IEEE Trans. Inf. Forensics Secur., 2011)

Robust median filtering forensics based on the autoregressive model of median filtered residual. - Xiangui Kang; Matthew C. Stamm; Anjie Peng; K. J. Ray Liu (APSIPA, 2012)

Forensic identification of compressively sensed images. - Xiaoyu Chu; Matthew C. Stamm; W. Sabrina Lin; K. J. Ray Liu (ICASSP, 2012)

Forensics vs. anti-forensics: A decision and game theoretic framework. - Matthew C. Stamm; W. Sabrina Lin; K. J. Ray Liu (ICASSP, 2012)

Forensic identification of compressively sensed signals. - Xiaoyu Chu; Matthew C. Stamm; K. J. Ray Liu (ICIP, 2012)

Temporal Forensics and Anti-Forensics for Motion Compensated Video. - Matthew C. Stamm; W. Sabrina Lin; K. J. Ray Liu (IEEE Trans. Inf. Forensics Secur., 2012)

Digital Multimedia Forensics and Anti-Forensics. - Matthew Christopher Stamm (2012)

Concealability-rate-distortion tradeoff in image compression anti-forensics. - Xiaoyu Chu; Matthew C. Stamm; Yan Chen 007; K. J. Ray Liu (ICASSP, 2013)

Protection against reverse engineering in digital cameras. - Matthew C. Stamm; K. J. Ray Liu (ICASSP, 2013)

Anti-forensics of median filtering. - Zhung-Han Wu; Matthew C. Stamm; K. J. Ray Liu (ICASSP, 2013)

Forensically determining the order of signal processing operations. - Matthew C. Stamm; Xiaoyu Chu; K. J. Ray Liu (WIFS, 2013)

Information Forensics: An Overview of the First Decade. - Matthew C. Stamm; Min Wu 001; Kuo J. Ray Liu (IEEE Access, 2013)

Robust Median Filtering Forensics Using an Autoregressive Model. - Xiangui Kang; Matthew C. Stamm; Anjie Peng; K. J. Ray Liu (IEEE Trans. Inf. Forensics Secur., 2013)

Information theoretical limit of compression forensics. - Xiaoyu Chu; Yan Chen 007; Matthew C. Stamm; K. J. Ray Liu (ICASSP, 2014)

Anti-forensics of chromatic aberration. - Owen Mayer; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2015)

Efficient Online Performance Monitoring of Computing Systems Using Predictive Models. - Salvador DeCelles; Matthew C. Stamm; Nagarajan Kandasamy (UCC, 2015)

Camera model identification framework using an ensemble of demosaicing features. - Chen Chen 059; Matthew C. Stamm (WIFS, 2015)

Compressive Sensing Forensics. - Xiaoyu Chu; Matthew Christopher Stamm; K. J. Ray Liu (IEEE Trans. Inf. Forensics Secur., 2015)

On Antiforensic Concealability With Rate-Distortion Tradeoff. - Xiaoyu Chu; Matthew Christopher Stamm; Yan Chen 007; K. J. Ray Liu (IEEE Trans. Image Process., 2015)

Detecting Incipient Faults in Software Systems: A Compressed Sampling-Based Approach. - Salvador DeCelles; Tingshan Huang; Matthew C. Stamm; Nagarajan Kandasamy (CLOUD, 2016)

Improved forgery detection with lateral chromatic aberration. - Owen Mayer; Matthew C. Stamm (ICASSP, 2016)

Computationally efficient demosaicing filter estimation for forensic camera model identification. - Xinwei Zhao; Matthew C. Stamm (ICIP, 2016)

A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer. - Belhassen Bayar; Matthew C. Stamm (IH&MMSec, 2016)

Information Theoretical Limit of Media Forensics: The Forensicability. - Xiaoyu Chu; Yan Chen 007; Matthew C. Stamm; K. J. Ray Liu (IEEE Trans. Inf. Forensics Secur., 2016)

On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection. - Belhassen Bayar; Matthew C. Stamm (ICASSP, 2017)

Augmented convolutional feature maps for robust CNN-based camera model identification. - Belhassen Bayar; Matthew C. Stamm (ICIP, 2017)

Image filter identification using demosaicing residual features. - Chen Chen 059; Matthew C. Stamm (ICIP, 2017)

Detecting anti-forensic attacks on demosaicing-based camera model identification. - Chen Chen 059; Xinwei Zhao; Matthew C. Stamm (ICIP, 2017)

A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks. - Belhassen Bayar; Matthew C. Stamm (IH&MMSec, 2017)

Countering Anti-Forensics of Lateral Chromatic Aberration. - Owen Mayer; Matthew C. Stamm (IH&MMSec, 2017)

Design Principles of Convolutional Neural Networks for Multimedia Forensics. - Belhassen Bayar; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2017)

Adversarial Multimedia Forensics: Overview and Challenges Ahead. - Mauro Barni; Matthew C. Stamm; Benedetta Tondi (EUSIPCO, 2018)

Towards Open Set Camera Model Identification Using a Deep Learning Framework. - Belhassen Bayar; Matthew C. Stamm (ICASSP, 2018)

Learned Forensic Source Similarity for Unknown Camera Models. - Owen Mayer; Matthew C. Stamm (ICASSP, 2018)

Mislgan: An Anti-Forensic Camera Model Falsification Framework Using A Generative Adversarial Network. - Chen Chen 059; Xinwei Zhao; Matthew C. Stamm (ICIP, 2018)

Learning Unified Deep-Features for Multiple Forensic Tasks. - Owen Mayer; Belhassen Bayar; Matthew C. Stamm (IH&MMSec, 2018)

Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks. - Belhassen Bayar; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2018)

Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions]. - Matthew C. Stamm; Paolo Bestagini; Lucio Marcenaro; Patrizio Campisi (IEEE Signal Process. Mag., 2018)

Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection. - Belhassen Bayar; Matthew C. Stamm (IEEE Trans. Inf. Forensics Secur., 2018)

Accurate and Efficient Image Forgery Detection Using Lateral Chromatic Aberration. - Owen Mayer; Matthew C. Stamm (IEEE Trans. Inf. Forensics Secur., 2018)

IEEE Signal Processing Cup 2018 Database - Forensic Camera Model Identification. - Matthew C. Stamm; Paolo Bestagini (IEEE DataPort, 2018)

Data Reduction, Compression, and Recovery for Online Performance Monitoring. - Salvador DeCelles; Matthew C. Stamm; Nagarajan Kandasamy (CLOUD, 2019)

A Video Camera Model Identification System Using Deep Learning and Fusion. - Brian C. Hosler; Owen Mayer; Belhassen Bayar; Xinwei Zhao; Chen Chen 059; James A. Shackleford; Matthew Christopher Stamm (ICASSP, 2019)

The Video Authentication and Camera Identification Database: A New Database for Video Forensics. - Brian C. Hosler; Xinwei Zhao; Owen Mayer; Chen Chen 059; James A. Shackleford; Matthew C. Stamm (IEEE Access, 2019)

An Efficient Strategy for Online Performance Monitoring of Datacenters via Adaptive Sampling. - Tingshan Huang; Nagarajan Kandasamy; Harish Sethu; Matthew C. Stamm (IEEE Trans. Cloud Comput., 2019)

Detecting Video Speed Manipulation. - Brian C. Hosler; Matthew C. Stamm (CVPR Workshops, 2020)

Defenses Against Multi-sticker Physical Domain Attacks on Classifiers. - Xinwei Zhao; Matthew C. Stamm (ECCV Workshops (1), 2020)

Open Set Video Camera Model Verification. - Owen Mayer; Brian C. Hosler; Matthew C. Stamm (ICASSP, 2020)

A Deep Learning Approach to MRI Scanner Manufacturer and Model Identification. - Shengbang Fang; Ronnie A. Sebro; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2020)

The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs. - Xinwei Zhao; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2020)

Exposing Fake Images With Forensic Similarity Graphs. - Owen Mayer; Matthew C. Stamm (IEEE J. Sel. Top. Signal Process., 2020)

Forensic Similarity for Digital Images. - Owen Mayer; Matthew C. Stamm (IEEE Trans. Inf. Forensics Secur., 2020)

Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes via Emotional Inconsistencies. - Brian C. Hosler; Davide Salvi; Anthony Murray; Fabio Antonacci; Paolo Bestagini; Stefano Tubaro; Matthew C. Stamm (CVPR Workshops, 2021)

A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network. - Xinwei Zhao; Chen Chen 059; Matthew C. Stamm (CoRR, 2021)

Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors. - Xinwei Zhao; Matthew C. Stamm (CoRR, 2021)

Robust camera model identification using demosaicing residual features. - Chen Chen 059; Matthew C. Stamm (Multim. Tools Appl., 2021)

Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach. - Emanuele Conti; Davide Salvi; Clara Borrelli; Brian C. Hosler; Paolo Bestagini; Fabio Antonacci; Augusto Sarti; Matthew C. Stamm; Stefano Tubaro (ICASSP, 2022)

Making Generated Images Hard to Spot: A Transferable Attack on Synthetic Image Detectors. - Xinwei Zhao; Matthew C. Stamm (ICPR Workshops (4), 2022)

Video-ACID. - Brian C. Hosler; Owen Mayer; Xinwei Zhao; Chen Chen 059; James A. Shackleford; Matthew C. Stamm (IEEE DataPort, 2022)

TIMIT-TTS: a Text-to-Speech Dataset for Synthetic Speech Detection. - Davide Salvi; Brian C. Hosler; Paolo Bestagini; Matthew C. Stamm; Stefano Tubaro (Zenodo, 2022)

Open Set Synthetic Image Source Attribution. - Shengbang Fang; Tai D. Nguyen; Matthew C. Stamm (BMVC, 2023)

Semantic Adversarial Attacks via Diffusion Models. - Chenan Wang; Jinhao Duan; Chaowei Xiao; Edward Kim 006; Matthew C. Stamm; Kaidi Xu (BMVC, 2023)

Defending Low-Bandwidth Talking Head Videoconferencing Systems From Real-Time Puppeteering Attacks. - Danial Samadi Vahdati; Tai D. Nguyen; Matthew C. Stamm (CVPR Workshops, 2023)

Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools. - Brandon B. May; Kirill Trapeznikov; Shengbang Fang; Matthew C. Stamm (IH&MMSec, 2023)

Detecting GAN-generated synthetic images using semantic inconsistencies. - Danial Samadi Vahdati; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2023)

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection. - Davide Salvi; Brian C. Hosler; Paolo Bestagini; Matthew C. Stamm; Stefano Tubaro (IEEE Access, 2023)

Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]. - Davide Salvi; Clara Borrelli; Paolo Bestagini; Fabio Antonacci; Matthew C. Stamm; Lucio Marcenaro; Angshul Majumdar (IEEE Signal Process. Mag., 2023)

E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data. - Aref Azizpour; Tai D. Nguyen; Manil Shrestha; Kaidi Xu; Edward Kim 006; Matthew C. Stamm (CVPR Workshops, 2024)

Beyond Deepfake Images: Detecting AI-Generated Videos. - Danial Samadi Vahdati; Tai D. Nguyen; Aref Azizpour; Matthew C. Stamm (CVPR Workshops, 2024)

VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces. - Tai D. Nguyen; Shengbang Fang; Matthew C. Stamm (WACV, 2024)

Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces. - Shengbang Fang; Matthew C. Stamm (IEEE Trans. Inf. Forensics Secur., 2024)

Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images. - Tai D. Nguyen; Aref Azizpour; Matthew C. Stamm (CVPR, 2025)

SAFE: Synthetic Audio Forensics Evaluation Challenge. - Kirill Trapeznikov; Paul Cummer; Pranay Pherwani; Jai Aslam; Michael Davinroy; Peter Bautista; Laura Cassani; Matthew C. Stamm (IH&MMSec, 2025)

MVFNet: Multipurpose Video Forensics Network using Multiple Forms of Forensic Evidence. - Tai D. Nguyen; Matthew C. Stamm (WACV, 2025)

Generative Adversarial Attacks Against Deep- Learning-Based Camera Model Identification. - Chen Chen 059; Xinwei Zhao; Matthew C. Stamm (IEEE Trans. Inf. Forensics Secur., 2025)

Autonomous and Self-Adapting System for Synthetic Media Detection and Attribution. - Aref Azizpour; Tai D. Nguyen; Matthew C. Stamm (CoRR, 2025)