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Citations per year
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Cited by
All
Since 2019
Citations
7
7
h-index
2
2
i10-index
0
0
0
2
1
2020
2021
2022
2023
2024
1
2
2
2
Co-authors
Rainer Böhme
Universität Innsbruck, Austria
Verified email at uibk.ac.at
Alexander Schlögl
Universität Innsbruck
Verified email at uibk.ac.at
Cecilia Pasquini
Researcher at Fondazione Bruno Kessler
Verified email at fbk.eu
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Tobias Kupek
University of Innsbruck
Verified email at tkupek.eu -
Homepage
adversarial machine learning
Articles
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Year
Forensicability of Deep Neural Network Inference Pipelines
A Schlögl, T Kupek, R Böhme
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …
, 2021
3
2021
On the Difficulty of Hiding Keys in Neural Networks
T Kupek, C Pasquini, R Böhme
Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia …
, 2020
3
2020
iNNformant: Boundary Samples as Telltale Watermarks
A Schlögl, T Kupek, R Böhme
Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia …
, 2021
1
2021
Evaluating the Security of Neural Networks on a Defense Against Adversarial Examples
T Kupek
University of Innsbruck
, 2020
2020
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