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

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)

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

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)

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

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

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

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