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Martin Nocker
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2020 – today
- 2024
- [c7]Markus Russold, Martin Nocker, Pascal Schöttle:
Incremental Whole Plate ALPR Under Data Availability Constraints. ICPRAM 2024: 131-140 - [c6]Johanna Schmidt, Verena Pietsch
, Martin Nocker, Michael Rader, Alessio Montuoro:
Navigating the Trade-Off Between Explainability and Privacy. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2024: 726-733 - 2023
- [c5]Thomas Widmann
, Florian Merkle
, Martin Nocker
, Pascal Schöttle
:
Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning. EANN 2023: 251-263 - [c4]Florian Merkle
, Mihaela Roxana Sirbu, Martin Nocker
, Pascal Schöttle
:
Generating Invariance-Based Adversarial Examples: Bringing Humans Back into the Loop. ICIAP Workshops (1) 2023: 15-27 - [c3]Martin Nocker
, David Drexel
, Michael Rader
, Alessio Montuoro
, Pascal Schöttle
:
HE-MAN - Homomorphically Encrypted MAchine learning with oNnx models. ICMLT 2023: 35-45 - [c2]Roland Rauter
, Martin Nocker
, Florian Merkle
, Pascal Schöttle
:
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples. ICMLT 2023: 54-60 - [i2]Roland Rauter, Martin Nocker, Florian Merkle, Pascal Schöttle:
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples. CoRR abs/2302.08257 (2023) - [i1]Martin Nocker, David Drexel, Michael Rader, Alessio Montuoro, Pascal Schöttle:
HE-MAN - Homomorphically Encrypted MAchine learning with oNnx models. CoRR abs/2302.08260 (2023)
2010 – 2019
- 2019
- [c1]Artur Mrowca, Martin Nocker
, Sebastian Steinhorst
, Stephan Günnemann:
Learning Temporal Specifications from Imperfect Traces Using Bayesian Inference. DAC 2019: 96
Coauthor Index

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