| 2026 | WACV | The Safe Image Authenticity Challenge: Detecting and Localizing Partial and Fully Synthetic Manipulations. | Tai Nguyen, Matthew C. Stamm, Jill Crisman, Jesse Hostetler, Laura Cassano, Michael Davinroy, Peter Bautista |
| 2025 | CVPR | 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 |
| 2025 | WACV | MVFNet: Multipurpose Video Forensics Network using Multiple Forms of Forensic Evidence. | Tai D. Nguyen, Matthew C. Stamm |
| 2024 | CVPR | 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, Matthew C. Stamm |
| 2024 | CVPR | Beyond Deepfake Images: Detecting AI-Generated Videos. | Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm |
| 2024 | WACV | VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces. | Tai D. Nguyen, Shengbang Fang, Matthew C. Stamm |
| 2023 | BMVC | Open Set Synthetic Image Source Attribution. | Shengbang Fang, Tai D. Nguyen, Matthew C. Stamm |
| 2023 | BMVC | Semantic Adversarial Attacks via Diffusion Models. | Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu |
| 2023 | CVPR | Defending Low-Bandwidth Talking Head Videoconferencing Systems From Real-Time Puppeteering Attacks. | Danial Samadi Vahdati, Tai D. Nguyen, Matthew C. Stamm |
| 2022 | ICASSP | 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 |
| 2022 | ICPR | Making Generated Images Hard to Spot: A Transferable Attack on Synthetic Image Detectors. | Xinwei Zhao, Matthew C. Stamm |
| 2021 | CVPR | 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 |
| 2020 | CVPR | Detecting Video Speed Manipulation. | Brian C. Hosler, Matthew C. Stamm |
| 2020 | ECCV | Defenses Against Multi-sticker Physical Domain Attacks on Classifiers. | Xinwei Zhao, Matthew C. Stamm |
| 2020 | ICASSP | Open Set Video Camera Model Verification. | Owen Mayer, Brian C. Hosler, Matthew C. Stamm |
| 2018 | ICASSP | Towards Open Set Camera Model Identification Using a Deep Learning Framework. | Belhassen Bayar, Matthew C. Stamm |
| 2018 | ICASSP | Learned Forensic Source Similarity for Unknown Camera Models. | Owen Mayer, Matthew C. Stamm |
| 2018 | ICIP | Mislgan: An Anti-Forensic Camera Model Falsification Framework Using A Generative Adversarial Network. | Chen Chen, Xinwei Zhao, Matthew C. Stamm |
| 2017 | ICASSP | On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection. | Belhassen Bayar, Matthew C. Stamm |
| 2017 | ICIP | Augmented convolutional feature maps for robust CNN-based camera model identification. | Belhassen Bayar, Matthew C. Stamm |
| 2017 | ICIP | Image filter identification using demosaicing residual features. | Chen Chen, Matthew C. Stamm |
| 2017 | ICIP | Detecting anti-forensic attacks on demosaicing-based camera model identification. | Chen Chen, Xinwei Zhao, Matthew C. Stamm |
| 2016 | ICASSP | Improved forgery detection with lateral chromatic aberration. | Owen Mayer, Matthew C. Stamm |
| 2016 | ICIP | Computationally efficient demosaicing filter estimation for forensic camera model identification. | Xinwei Zhao, Matthew C. Stamm |
| 2015 | UCC | Efficient Online Performance Monitoring of Computing Systems Using Predictive Models. | Salvador DeCelles, Matthew C. Stamm, Nagarajan Kandasamy |
| 2014 | ICASSP | Information theoretical limit of compression forensics. | Xiaoyu Chu, Yan Chen, Matthew C. Stamm, K. J. Ray Liu |
| 2013 | ICASSP | Concealability-rate-distortion tradeoff in image compression anti-forensics. | Xiaoyu Chu, Matthew C. Stamm, Yan Chen, K. J. Ray Liu |
| 2013 | ICASSP | Protection against reverse engineering in digital cameras. | Matthew C. Stamm, K. J. Ray Liu |
| 2013 | ICASSP | Anti-forensics of median filtering. | Zhung-Han Wu, Matthew C. Stamm, K. J. Ray Liu |
| 2012 | ICASSP | Forensic identification of compressively sensed images. | Xiaoyu Chu, Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu |
| 2012 | ICASSP | Forensics vs. anti-forensics: A decision and game theoretic framework. | Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu |
| 2012 | ICIP | Forensic identification of compressively sensed signals. | Xiaoyu Chu, Matthew C. Stamm, K. J. Ray Liu |
| 2011 | ICASSP | Anti-forensics for frame deletion/addition in MPEG video. | Matthew C. Stamm, K. J. Ray Liu |
| 2010 | ICASSP | Forensic estimation and reconstruction of a contrast enhancement mapping. | Matthew C. Stamm, K. J. Ray Liu |
| 2010 | ICASSP | Anti-forensics of JPEG compression. | Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, K. J. Ray Liu |
| 2010 | ICASSP | Harmonic variable-size dictionary learning for music source separation. | Steven K. Tjoa, Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu |
| 2010 | ICIP | Wavelet-based image compression anti-forensics. | Matthew C. Stamm, K. J. Ray Liu |
| 2010 | ICIP | Undetectable image tampering through JPEG compression anti-forensics. | Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, K. J. Ray Liu |
| 2008 | ICIP | Blind forensics of contrast enhancement in digital images. | Matthew C. Stamm, K. J. Ray Liu |