Benedikt Lorch

Reliable JPEG Forensics via Model Uncertainty

C. Riess, Benedikt Lorch, Anatol Maier, 2020, 2020 IEEE International Workshop on Information Forensics and Security (WIFS).

Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act

C. Riess, Benedikt Lorch, Nicole Scheler, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition

C. Riess, Benedikt Lorch, Anatol Maier, 2023, IEEE Transactions on Intelligent Transportation Systems.

Image Forensics from Chroma Subsampling of High-Quality JPEG Images

Christian Riess, Benedikt Lorch, C. Riess, 2019, IH&MMSec.

Toward Reliable Models For Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks

Christian Riess, Benedikt Lorch, Anatol Maier, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests

Daniel Rueckert, Andreas Maier, Wenjia Bai, 2017, Journal of medical engineering.

Reliable Camera Model Identification Through Uncertainty Estimation

Christian Riess, Benedikt Lorch, Anatol Maier, 2021, 2021 IEEE International Workshop on Biometrics and Forensics (IWBF).

Forensic Reconstruction of Severely Degraded License Plates

Hany Farid, Benedikt Lorch, Shruti Agarwal, 2019, Media Watermarking, Security, and Forensics.

Learning to Decipher License Plates in Severely Degraded Images

C. Riess, Benedikt Lorch, Franziska Schirrmacher, 2020, ICPR Workshops.