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Benedikt Lorch
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2020 – today
- 2024
- [c12]Benedikt Lorch, Rainer Böhme:
Landscape More Secure Than Portrait? Zooming Into the Directionality of Digital Images With Security Implications. USENIX Security Symposium 2024 - [i5]Benedikt Lorch, Rainer Böhme:
Landscape More Secure Than Portrait? Zooming Into the Directionality of Digital Images With Security Implications. CoRR abs/2406.15206 (2024) - 2023
- [b1]Benedikt Lorch:
Reliable Machine Learning Methods in Image Forensics. University of Erlangen-Nuremberg, Germany, 2023 - [j4]Benedikt Lorch, Franziska Schirrmacher, Anatol Maier, Christian Riess:
On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics. IEEE Trans. Inf. Forensics Secur. 18: 2466-2479 (2023) - [j3]Franziska Schirrmacher, Benedikt Lorch, Anatol Maier, Christian Riess:
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition. IEEE Trans. Intell. Transp. Syst. 24(9): 9203-9216 (2023) - [c11]Martin Benes, Benedikt Lorch, Rainer Böhme:
JPEG Steganalysis Using Leaked Cover Thumbnails. WIFS 2023: 1-6 - [i4]Franziska Schirrmacher, Benedikt Lorch, Anatol Maier, Christian Riess:
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition. CoRR abs/2302.01427 (2023) - [i3]Benedikt Lorch:
Off-By-One Implementation Error in J-UNIWARD. CoRR abs/2305.19776 (2023) - 2022
- [j2]Janine Schneider, Linus Düsel, Benedikt Lorch, Julia Drafz, Felix C. Freiling:
Prudent design principles for digital tampering experiments. Digit. Investig. 40(Supplement): 301334 (2022) - [c10]Benedikt Lorch, Nicole Scheler, Christian Riess:
Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act. EUSIPCO 2022: 613-617 - [i2]Benedikt Lorch, Nicole Scheler, Christian Riess:
Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act. CoRR abs/2203.00469 (2022) - 2021
- [j1]Benedikt Lorch, Franziska Schirrmacher, Anatol Maier, Christian Riess:
Reliable Camera Model Identification Using Sparse Gaussian Processes. IEEE Signal Process. Lett. 28: 912-916 (2021) - [c9]Jiarong Pan, Anatol Maier, Benedikt Lorch, Christian Riess:
Reliable Camera Model Identification Through Uncertainty Estimation. IWBF 2021: 1-6 - 2020
- [c8]Franziska Schirrmacher, Benedikt Lorch, Bernhard Stimpel, Thomas Köhler, Christian Riess:
SR2: Super-Resolution With Structure-Aware Reconstruction. ICIP 2020: 533-537 - [c7]Anatol Maier, Benedikt Lorch, Christian Riess:
Toward Reliable Models For Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks. ICIP 2020: 1251-1255 - [c6]Paula Kaiser, Franziska Schirrmacher, Benedikt Lorch, Christian Riess:
Learning to Decipher License Plates in Severely Degraded Images. ICPR Workshops (6) 2020: 544-559 - [c5]Benedikt Lorch, Anatol Maier, Christian Riess:
Reliable JPEG Forensics via Model Uncertainty. WIFS 2020: 1-6 - [i1]Anatol Maier, Benedikt Lorch, Christian Riess:
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks. CoRR abs/2007.14132 (2020)
2010 – 2019
- 2019
- [c4]Benedikt Lorch, Christian Riess:
Image Forensics from Chroma Subsampling of High-Quality JPEG Images. IH&MMSec 2019: 101-106 - [c3]Benedikt Lorch, Shruti Agarwal, Hany Farid:
Forensic Reconstruction of Severely Degraded License Plates. Media Watermarking, Security, and Forensics 2019 - 2015
- [c2]Benedikt Lorch, Martin Berger, Joachim Hornegger, Andreas K. Maier:
Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT. Bildverarbeitung für die Medizin 2015: 59-64 - [c1]Patrick Mullan, Christoph M. Kanzler, Benedikt Lorch, Lea Schroeder, Ludwig Winkler, Larissa Laich, Frederik Riedel, Robert Richer, Christoph Luckner, Heike Leutheuser, Björn M. Eskofier, Cristian F. Pasluosta:
Unobtrusive heart rate estimation during physical exercise using photoplethysmographic and acceleration data. EMBC 2015: 6114-6117
Coauthor Index
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last updated on 2024-07-23 21:01 CEST by the dblp team
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