12 citations · 20 across the 7 of their papers we have counts for
7 papers · 1 filter
Explainable Artificial Intelligence for Improved Modeling of Processes
Riza Velioglu, Jan Philip Göpfert, André Artelt +1
In modern business processes, the amount of data collected has increased substantially in recent years. Because this data can potentially yield valuable insights, automated knowled…
Interpretable Locally Adaptive Nearest Neighbors
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
When training automated systems, it has been shown to be beneficial to adapt the representation of data by learning a problem-specific metric. This metric is global. We extend this…
Towards an Automatic Analysis of CHO-K1 Suspension Growth in Microfluidic Single-cell Cultivation
Dominik Stallmann, Jan P. Göpfert, Julian Schmitz +2
Motivation: Innovative microfluidic systems carry the promise to greatly facilitate spatio-temporal analysis of single cells under well-defined environmental conditions, allowing n…
How to compare adversarial robustness of classifiers from a global perspective
Niklas Risse, Christina Göpfert, Jan Philip Göpfert
Adversarial robustness of machine learning models has attracted considerable attention over recent years. Adversarial attacks undermine the reliability of and trust in machine lear…
Recovering Localized Adversarial Attacks
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Deep convolutional neural networks have achieved great successes over recent years, particularly in the domain of computer vision. They are fast, convenient, and -- thanks to matur…
Adversarial Robustness Curves
Christina Göpfert, Jan Philip Göpfert, Barbara Hammer
The existence of adversarial examples has led to considerable uncertainty regarding the trust one can justifiably put in predictions produced by automated systems. This uncertainty…
Adversarial attacks hidden in plain sight
Jan Philip Göpfert, André Artelt, Heiko Wersing +1
Convolutional neural networks have been used to achieve a string of successes during recent years, but their lack of interpretability remains a serious issue. Adversarial examples…