| A video camera model identification system using deep learning and fusion B Hosler, O Mayer, B Bayar, X Zhao, C Chen, JA Shackleford, MC Stamm ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019 | 50 | 2019 |
| Generative adversarial attacks against deep-learning-based camera model identification C Chen, X Zhao, MC Stamm IEEE Transactions on Information Forensics and Security, 2019 | 47 | 2019 |
| The video authentication and camera identification database: A new database for video forensics BC Hosler, X Zhao, O Mayer, C Chen, JA Shackleford, MC Stamm IEEE access 7, 76937-76948, 2019 | 47 | 2019 |
| Computationally efficient demosaicing filter estimation for forensic camera model identification X Zhao, MC Stamm 2016 IEEE international conference on image processing (ICIP), 151-155, 2016 | 32 | 2016 |
| Mislgan: an anti-forensic camera model falsification framework using a generative adversarial network C Chen, X Zhao, MC Stamm 2018 25th IEEE International Conference on Image Processing (ICIP), 535-539, 2018 | 31 | 2018 |
| Detecting anti-forensic attacks on demosaicing-based camera model identification C Chen, X Zhao, MC Stamm 2017 IEEE International conference on image processing (ICIP), 1512-1516, 2017 | 16 | 2017 |
| A transferable anti-forensic attack on forensic CNNs using a generative adversarial network X Zhao, C Chen, MC Stamm arXiv preprint arXiv:2101.09568, 2021 | 14 | 2021 |
| Making GAN-generated images difficult to spot: a new attack against synthetic image detectors X Zhao, MC Stamm arXiv preprint arXiv:2104.12069 2, 2021 | 11 | 2021 |
| Anti-forensic attacks using generative adversarial networks MC Stamm, X Zhao Multimedia forensics, 467, 2022 | 7 | 2022 |
| Making generated images hard to spot: a transferable attack on synthetic image detectors X Zhao, MC Stamm International Conference on Pattern Recognition, 70-84, 2022 | 6 | 2022 |
| The effect of class definitions on the transferability of adversarial attacks against forensic CNNs X Zhao, MC Stamm arXiv preprint arXiv:2101.11081, 2021 | 6 | 2021 |
| Defenses against multi-sticker physical domain attacks on classifiers X Zhao, MC Stamm Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 4 | 2020 |
| Understanding New Threats Against Digital Forensics and Computer Vision Systems X Zhao Drexel University, 2022 | | 2022 |
| The Video Authentication and Camera Identification Database (Video-ACID): A New Database for Video Forensics BC Hosler, X Zhao, O Mayer, C Chen, JA Shackleford, MC Stamm | | |
Matthew C. StammAssociate Professor, Drexel UniversityVerified email at drexel.edu
