Benedikt Lorch

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Citations	237	204
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Christian RiessFriedrich-Alexander-University of Erlangen-NurembergVerified email at informatik.uni-erlangen.de
Franziska SchirrmacherFriedrich-Alexander-University of Erlangen-NurembergVerified email at fau.de
Andreas K. MaierFriedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Christian F. BaumgartnerUniversity of Tübingen & University of LucerneVerified email at uni-tuebingen.de
Wenjia Bai (柏文佳)Senior Lecturer (Associate Professor), Imperial College LondonVerified email at imperial.ac.uk
Cristian PasluostaResearch Group Leader, University of FreiburgVerified email at imtek.uni-freiburg.de
Bjoern M. EskofierMaD Lab, FAU Erlangen-Nürnberg & TDH Group, Helmholtz MunichVerified email at fau.de
Heike LeutheuserProfessor for AAL & Medical Assistance Systems, University of BayreuthVerified email at uni-bayreuth.de
Christoph LucknerFriedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Robert RicherMachine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Christoph M. KanzlerLead Data Scientist, Digital Biomarkers, BiogenVerified email at biogen.com
Shruti AgarwalAdobeVerified email at adobe.com
Hany FaridProfessor, University of California, BerkeleyVerified email at berkeley.edu
Joachim HorneggerProfessor of Computer Science, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Martin BergerSiemens HealthineersVerified email at siemens-healthineers.com

Benedikt Lorch

Security & Privacy Lab, Universität Innsbruck, Austria

Verified email at uibk.ac.at - Homepage

Multimedia Forensics Computer Vision Machine Learning


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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 (1), 4501647, 2017	64	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	28	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	27	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	14	2022
Forensic Reconstruction of Severely Degraded License Plates B Lorch, S Agarwal, H Farid IS&T International Symposium on Electronic Imaging 2019: Media Watermarking …, 2019	14	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	13	2021
Reliable camera model identification using sparse gaussian processes B Lorch, F Schirrmacher, A Maier, C Riess IEEE Signal Processing Letters 28, 912-916, 2021	12	2021
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	12	2019
Reliable JPEG Forensics via Model Uncertainty B Lorch, A Maier, C Riess IEEE International Workshop in Information Forensics and Security, 2020	11	2020
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	10	2015
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	9	2022
Benchmarking probabilistic deep learning methods for license plate recognition F Schirrmacher, B Lorch, A Maier, C Riess IEEE Transactions on Intelligent Transportation Systems 24 (9), 9203-9216, 2023	7	2023
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 18, 2466-2479, 2023	5	2023
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	4	2020
JPEG steganalysis using leaked cover thumbnails M Beneš, B Lorch, R Böhme 2023 IEEE International Workshop on Information Forensics and Security (WIFS …, 2023	3	2023
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	2	2021
Landscape more secure than portrait? Zooming into the directionality of digital images with security implications B Lorch, R Böhme 33rd USENIX Security Symposium (USENIX Security 24), 6903-6920, 2024	1	2024
Off-By-One Implementation Error in J-UNIWARD B Lorch arXiv preprint arXiv:2305.19776, 2023	1	2023
Steganalysis in Directional JPEG Images B Lorch, R Böhme 2024 IEEE International Workshop on Information Forensics and Security (WIFS …, 2024		2024
Reliable Machine Learning Methods in Image Forensics B Lorch Dissertation, Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg …, 2023		2023

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