Benedikt Lorch
Benedikt Lorch
Security & Privacy Lab, Universität Innsbruck, Austria
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Cited by
Cited by
Automated detection of motion artefacts in MR imaging using decision forests
B Lorch, G Vaillant, C Baumgartner, W Bai, D Rueckert, A Maier
Journal of medical engineering 2017, 2017
Toward reliable models for authenticating multimedia content: Detecting resampling artifacts with bayesian neural networks
A Maier, B Lorch, C Riess
2020 IEEE International Conference on Image Processing (ICIP), 1251-1255, 2020
Unobtrusive heart rate estimation during physical exercise using photoplethysmographic and acceleration data
P Mullan, CM Kanzler, B Lorch, L Schroeder, L Winkler, L Laich, F Riedel, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Forensic Reconstruction of Severely Degraded License Plates
B Lorch, S Agarwal, H Farid
IS&T International Symposium on Electronic Imaging 2019: Media Watermarking …, 2019
Learning to Decipher License Plates in Severely Degraded Images
P Kaiser, F Schirrmacher, B Lorch, C Riess
International Conference on Pattern Recognition, 544-559, 2021
Reliable JPEG Forensics via Model Uncertainty
B Lorch, A Maier, C Riess
IEEE International Workshop in Information Forensics and Security, 2020
Image Forensics from Chroma Subsampling of High-Quality JPEG Images
B Lorch, C Riess
Proceedings of the ACM Workshop on Information Hiding and Multimedia …, 2019
Reliable Camera Model Identification Using Sparse Gaussian Processes
B Lorch, F Schirrmacher, A Maier, C Riess
IEEE Signal Processing Letters 28, 912-916, 2021
Projection and reconstruction-based noise filtering methods in cone beam CT
B Lorch, M Berger, J Hornegger, A Maier
Bildverarbeitung für die Medizin 2015: Algorithmen-Systeme-Anwendungen …, 2015
Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act
B Lorch, N Scheler, C Riess
2022 30th European Signal Processing Conference (EUSIPCO), 613-617, 2022
SR2: Super-Resolution With Structure-Aware Reconstruction
F Schirrmacher, B Lorch, B Stimpel, T Köhler, C Riess
2020 IEEE International Conference on Image Processing (ICIP), 533-537, 2020
Prudent design principles for digital tampering experiments
J Schneider, L Düsel, B Lorch, J Drafz, F Freiling
Forensic Science International: Digital Investigation 40, 301334, 2022
Reliable Camera Model Identification Through Uncertainty Estimation
J Pan, A Maier, B Lorch, C Riess
2021 IEEE International Workshop on Biometrics and Forensics (IWBF), 1-6, 2021
On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics
B Lorch, F Schirrmacher, A Maier, C Riess
IEEE Transactions on Information Forensics and Security, 2023
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
F Schirrmacher, B Lorch, A Maier, C Riess
IEEE Transactions on Intelligent Transportation Systems, 2023
Off-By-One Implementation Error in J-UNIWARD
B Lorch
arXiv preprint arXiv:2305.19776, 2023
JPEG Steganalysis Using Leaked Cover Thumbnails
M Beneš, B Lorch, R Böhme
Reliable Machine Learning Methods in Image Forensics
B Lorch
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2023
Bayesian Tools for Reliable Multimedia Forensics
A Maier, B Lorch, C Riess
2022 VIII International Conference on Information Technology and …, 2022
Research Article Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests
B Lorch, G Vaillant, C Baumgartner, W Bai, D Rueckert, A Maier
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