Lorch, Benedikt
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2

Benchmarking Probabilistic Deep Learning Methods for Licens..:

Schirrmacher, Franziska ; Lorch, Benedikt ; Maier, Anatol.
IEEE Transactions on Intelligent Transportation Systems.  24 (2023)  9 - p. 9203-9216 , 2023
 
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3

JPEG Steganalysis Using Leaked Cover Thumbnails:

, In: 2023 IEEE International Workshop on Information Forensics and Security (WIFS),
 
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4

On the Security of the One-and-a-Half-Class Classifier for ..:

Lorch, Benedikt ; Schirrmacher, Franziska ; Maier, Anatol.
IEEE Transactions on Information Forensics and Security.  18 (2023)  - p. 2466-2479 , 2023
 
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5

Bayesian Tools for Reliable Multimedia Forensics:

, In: 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT),
 
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6

Prudent design principles for digital tampering experiments:

Schneider, Janine ; Düsel, Linus ; Lorch, Benedikt..
Forensic Science International: Digital Investigation.  40 (2022)  - p. 301334 , 2022
 
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7

Compliance Challenges in Forensic Image Analysis Under the ..:

, In: 2022 30th European Signal Processing Conference (EUSIPCO),
 
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8

Learning to Decipher License Plates in Severely Degraded Im..:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,
 
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9

SR2: Super-Resolution With Structure-Aware Reconstruction:

, In: 2020 IEEE International Conference on Image Processing (ICIP),
 
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10

Toward Reliable Models For Authenticating Multimedia Conten..:

, In: 2020 IEEE International Conference on Image Processing (ICIP),
Maier, Anatol ; Lorch, Benedikt ; Riess, Christian - p. 1251-1255 , 2020
 
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11

Image Forensics from Chroma Subsampling of High-Quality JPE..:

, In: Proceedings of the ACM Workshop on Information Hiding and Multimedia Security,
Lorch, Benedikt ; Riess, Christian - p. 101-106 , 2019
 
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13

Projection and Reconstruction-Based Noise Filtering Methods..:

, In: Informatik aktuell; Bildverarbeitung für die Medizin 2015,
 
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15

Reliable Machine Learning Methods in Image Forensics ; Zuve..:

Lorch, Benedikt
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/21732.  , 2023
 
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