Benedikt Lorch, M. Sc.
Department of Computer Science
Chair of Computer Science 1 (IT Security Infrastructures)
Martensstr. 3
91058 Erlangen
- Phone number: +49 9131 85 69918
- Fax number: +49 9131 85 69919
- Email: benedikt.lorch@fau.de
- Website: https://www.cs1.tf.fau.de/person/benedikt-lorch/
PhD candidate in the multimedia security group and member of the research training group Cybercrime and Forensic Computing. My research interests include image forensics, computer vision, and machine learning.
Recent projects
Image forensics from chroma wrinkles
This work presents a novel artifact that can be used to fingerprint the JPEG compression library. The artifact arises from chroma subsampling in one of the most popular JPEG implementations. Due to integer rounding, every second column of the compressed chroma channel appears on average slightly brighter than its neighboring columns, which is why we call the artifact a chroma wrinkle. We theoretically derive the chroma wrinkle footprint in DCT domain, and use this footprint for detecting chroma wrinkles.
Paper | Slides | GitHub
Forensic reconstruction of severely degraded license plates
Forensic investigations often have to contend with extremely low-quality images that can provide critical evidence. Recent work has shown that, although not visually apparent, information can be recovered from such low-resolution and degraded images. We developed a CNN-based approach to decipher the contents of low-quality images of license plates.
Paper | Slides | GitHub
Quick links
PGP
| Key ID | D7994F61EECD8C75 |
| SHA-1 Fingerprint | 1781 F23E FB55 50E6 BA75 ED4E D799 4F61 EECD 8C75 |
| Public Key | ASCII-armored |
S/MIME
| Serial Number | 9818699174281625244871974418 (0x1FB9D66CC971837E47385E12) |
| SHA-1 Fingerprint | 31AC 2F57 6630 EFF1 C3E7 57DA D696 9508 E0F4 976C |
| Issuer | DFN-Verein Global Issuing CA < DFN-Verein Certification Authority 2 < T-TeleSec GlobalRoot Class 2 |
| Certificate | PEM / DER / TXT |
Retrieve from DFN.
Publications
2020
- Lorch, B., Maier, A., & Riess, C. (2020). Reliable JPEG Forensics via Model Uncertainty. In Proceedings of the IEEE International Workshop on Information Forensics and Security. online.
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Lorch-BLR.pdf - Maier, A., Lorch, B., & Riess, C. (2020). Toward Reliable Models For Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks. In Proceedings of the IEEE International Conference on Image Processing (pp. 1251 - 1255).
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Maier-BNN.pdf - Schirrmacher, F., Lorch, B., Stimpel, B., Köhler, T., & Riess, C. (2020). SR²: Super-Resolution With Structure-Aware Reconstruction. In Proceedings of the 2020 IEEE International Conference on Image Processing (ICIP) (pp. 533-537). Online.
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-SR2.pdf
2019
- Lorch, B., Agarwal, S., & Farid, H. (2019). Forensic Reconstruction of Severely Degraded License Plates. In Society for Imaging Science & Technology (Eds.), Electronic Imaging. Burlingame, CA, US.
URL: https://faui1-files.cs.fau.de/public/mmsec/license-plates/ei2019_forensic_reconstruction_of_severely_degraded_license_plates.pdf - Lorch, B., & Riess, C. (2019). Image Forensics from Chroma Subsampling of High-Quality JPEG Images. In Proceedings of the ACM Workshop on Information Hiding and Multimedia Security. Paris, FR.
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2019-Lorch-IFC.pdf
2017
- Lorch, B., Vaillant, G., Baumgartner, C., Bai, W., Rueckert, D., & Maier, A. (2017). Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests. Journal of Medical Engineering, 2017. https://dx.doi.org/10.1155/2017/4501647
2015
- Lorch, B., Berger, M., Hornegger, J., & Maier, A. (2015). Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT. In Bildverarbeitung für die Medizin 2015 (pp. 59-64). Lübeck.
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Lorch15-PAR.pdf - Mullan, P., Kanzler, C., Lorch, B., Schroeder, L., Winkler, L., Larissa, L.,... Pasluosta, C.F. (2015). Unobtrusive Heart Rate Estimation during Physical Exercise using Photoplethysmographic and Acceleration Data. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC ’15. Milano.