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Jan Soelter
Jan Soelter
Hochschule Stralsund
Zweryfikowany adres z hochschule-stralsund.de
Tytuł
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Cytowane przez
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Modeling attacks on physical unclonable functions
U Rührmair, F Sehnke, J Sölter, G Dror, S Devadas, J Schmidhuber
Proceedings of the 17th ACM conference on Computer and communications …, 2010
11352010
PUF modeling attacks on simulated and silicon data
U Rührmair, J Sölter, F Sehnke, X Xu, A Mahmoud, V Stoyanova, G Dror, ...
IEEE transactions on information forensics and security 8 (11), 1876-1891, 2013
6572013
On the foundations of physical unclonable functions
U Rührmair, J Sölter, F Sehnke
Cryptology ePrint Archive, 2009
2202009
Efficient power and timing side channels for physical unclonable functions
U Rührmair, X Xu, J Sölter, A Mahmoud, M Majzoobi, F Koushanfar, ...
Cryptographic Hardware and Embedded Systems–CHES 2014: 16th International …, 2014
1742014
Decoding odor quality and intensity in the Drosophila brain
A Strutz, J Soelter, A Baschwitz, A Farhan, V Grabe, J Rybak, M Knaden, ...
Elife 3, e04147, 2014
1542014
PUF modeling attacks: An introduction and overview
U Rührmair, J Sölter
2014 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2014
982014
Structure-property relationships in major ampullate spider silk as deduced from polarized FTIR spectroscopy
P Papadopoulos, J Sölter, F Kremer
The European Physical Journal E 24, 193-199, 2007
892007
Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem
BG Santa Cruz, MN Bossa, J Sölter, AD Husch
Medical image analysis 74, 102225, 2021
882021
Hierarchies in the structural organization of spider silk—a quantitative model
P Papadopoulos, J Sölter, F Kremer
Colloid and Polymer Science 287, 231-236, 2009
802009
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
HR Roth, Z Xu, C Tor-Díez, RS Jacob, J Zember, J Molto, W Li, S Xu, ...
Medical image analysis 82, 102605, 2022
612022
Power and timing side channels for PUFs and their efficient exploitation
U Rührmair, X Xu, J Sölter, A Mahmoud, F Koushanfar, W Burleson
Cryptology ePrint Archive, 2013
412013
Cryptanalysis of electrical PUFs via machine learning algorithms
J Sölter
MSc thesis, Technische Universität München, 2009
232009
Physicochemical vs. vibrational descriptors for prediction of odor receptor responses
S Gabler, J Soelter, T Hussain, S Sachse, M Schmuker
Molecular informatics 32 (9‐10), 855-865, 2013
192013
Challenging conventional wisdom: Experimental evidence on heterogeneity and coordination in avoiding a collective catastrophic event
I Waichman, T Requate, M Karde, M Milinski
Journal of Environmental Economics and Management 109, 102502, 2021
172021
Policy gradients for cryptanalysis
F Sehnke, C Osendorfer, J Sölter, J Schmidhuber, U Rührmair
Artificial Neural Networks–ICANN 2010: 20th International Conference …, 2010
152010
Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization
J Soelter, J Schumacher, H Spors, M Schmuker
NeuroImage 98, 279-288, 2014
142014
On the composition and limitations of publicly available covid-19 x-ray imaging datasets
BGS Cruz, J Sölter, MN Bossa, AD Husch
arXiv preprint arXiv:2008.11572, 2020
102020
Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical map
J Soelter, J Schumacher, H Spors, M Schmuker
Scientific reports 10 (1), 77, 2020
52020
Generalising from conventional pipelines using deep learning in high-throughput screening workflows
B Garcia Santa Cruz, J Slter, G Gomez-Giro, C Saraiva, S Sabate-Soler, ...
Scientific Reports 12 (1), 11465, 2022
32022
The importance of dataset choice lessons learned from COVID-19 X-ray imaging models
BGS Cruz, MN Bossa, J Soelter, F Hertel, A Husch
Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022
12022
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