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 | 1176 | 2010 |
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 | 684 | 2013 |
On the foundations of physical unclonable functions U Rührmair, J Sölter, F Sehnke Cryptology ePrint Archive, 2009 | 223 | 2009 |
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 | 175 | 2014 |
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 | 161 | 2014 |
PUF modeling attacks: An introduction and overview U Rührmair, J Sölter 2014 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2014 | 108 | 2014 |
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 | 98 | 2021 |
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 | 91 | 2007 |
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 | 81 | 2009 |
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 | 70 | 2022 |
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 | 41 | 2013 |
Cryptanalysis of electrical PUFs via machine learning algorithms J Sölter MSc thesis, Technische Universität München, 2009 | 23 | 2009 |
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 | 20 | 2021 |
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 | 20 | 2013 |
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 | 15 | 2014 |
Policy gradients for cryptanalysis F Sehnke, C Osendorfer, J Sölter, J Schmidhuber, U Rührmair Artificial Neural Networks–ICANN 2010: 20th International Conference …, 2010 | 15 | 2010 |
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 | 10 | 2020 |
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 | 5 | 2020 |
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 | 3 | 2022 |
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 | 1 | 2022 |