activity
20182022
most citedIdentifying Mislabeled Instances in Classification Datasets

28 citations · 41 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022★ 2 cited

Language Dependencies in Adversarial Attacks on Speech Recognition Systems

Karla Markert, Donika Mirdita, Konstantin Böttinger

Automatic speech recognition (ASR) systems are ubiquitously present in our daily devices. They are vulnerable to adversarial attacks, where manipulated input samples fool the ASR s…

cs.LG2022★ 4 cited

Visualizing Automatic Speech Recognition -- Means for a Better Understanding?

Karla Markert, Romain Parracone, Mykhailo Kulakov +3

Automatic speech recognition (ASR) is improving ever more at mimicking human speech processing. The functioning of ASR, however, remains to a large extent obfuscated by the complex…

cs.SD2020★ 7 cited

Towards Resistant Audio Adversarial Examples

Tom Dörr, Karla Markert, Nicolas M. Müller +1

Adversarial examples tremendously threaten the availability and integrity of machine learning-based systems. While the feasibility of such attacks has been observed first in the do…

cs.LG2019★ 28 cited

Identifying Mislabeled Instances in Classification Datasets

Nicolas Michael Müller, Karla Markert

A key requirement for supervised machine learning is labeled training data, which is created by annotating unlabeled data with the appropriate class. Because this process can in ma…

stat.AP2018

Detecting Anisotropy in Fingerprint Growth

Karla Markert, Karolin Krehl, Carsten Gottschlich +1

From infancy to adulthood, human growth is anisotropic, much more along the proximal-distal axis (height) than along the medial-lateral axis (width), particularly at extremities. D…