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2020 – today
- 2022
[c4]Ching-Yu Kao, Junhao Chen, Karla Markert, Konstantin Böttinger:
Rectifying adversarial inputs using XAI techniques. EUSIPCO 2022: 573-577- [c3]Karla Markert, Afrae Ahouzi, Pascal Debus
:
Fairness in Regression - Analysing a Job Candidates Ranking System. GI-Jahrestagung 2022: 1275-1285 - [c2]Ching-Yu Kao, Hongjia Wan, Karla Markert, Konstantin Böttinger:
Real or Fake? A Practical Method for Detecting Tempered Images. IPAS 2022: 1-6 - [i6]Karla Markert, Donika Mirdita, Konstantin Böttinger:
Language Dependencies in Adversarial Attacks on Speech Recognition Systems. CoRR abs/2202.00399 (2022) - [i5]Karla Markert, Romain Parracone, Mykhailo Kulakov, Philip Sperl, Ching-Yu Kao, Konstantin Böttinger:
Visualizing Automatic Speech Recognition - Means for a Better Understanding? CoRR abs/2202.00673 (2022) - 2021
- [j1]Karla Markert, Konstantin Böttinger:
Robuste Lernverfahren. Datenschutz und Datensicherheit 45(7): 457-461 (2021) - [i4]Nicolas M. Müller, Karla Markert, Konstantin Böttinger:
Human Perception of Audio Deepfakes. CoRR abs/2107.09667 (2021) - [i3]Karla Markert:
Trick the System: Towards Understanding Automatic Speech Recognition Systems. ERCIM News 2021(125) (2021) - 2020
- [i2]Tom Dörr, Karla Markert, Nicolas M. Müller, Konstantin Böttinger:
Towards Resistant Audio Adversarial Examples. CoRR abs/2010.07190 (2020)
2010 – 2019
- 2019
- [c1]Nicolas M. Müller, Karla Markert:
Identifying Mislabeled Instances in Classification Datasets. IJCNN 2019: 1-8 - [i1]Nicolas Michael Müller, Karla Markert:
Identifying Mislabeled Instances in Classification Datasets. CoRR abs/1912.05283 (2019)
Coauthor Index
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