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Journal Articles
- 2024
[j1]Chethan Krishnamurthy Ramanaik
, Anna Willmann, Juan Esteban Suarez Cardona, Pia Hanfeld, Nico Hoffmann, Michael Hecht:
Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss-Legendre Nodes. Axioms 13(8): 535 (2024)
Conference and Workshop Papers
- 2023
- [c1]Pia Hanfeld, Khaled Wahba, Marina M.-C. Höhne, Michael Bussmann, Wolfgang Hönig:
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches. MRS 2023: 78-84
Informal and Other Publications
- 2023
- [i4]Pia Hanfeld, Marina M.-C. Höhne, Michael Bussmann, Wolfgang Hönig:
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors. CoRR abs/2305.12859 (2023) - [i3]Pia Hanfeld, Khaled Wahba, Marina M.-C. Höhne, Michael Bussmann, Wolfgang Hönig:
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches. CoRR abs/2308.00344 (2023) - [i2]Chethan Krishnamurthy Ramanaik, Juan Esteban Suarez Cardona, Anna Willmann, Pia Hanfeld, Nico Hoffmann, Michael Hecht:
Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss-Legendre nodes. CoRR abs/2309.08228 (2023) - 2021
- [i1]Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold, Nico Hoffmann:
InFlow: Robust outlier detection utilizing Normalizing Flows. CoRR abs/2106.12894 (2021)
Coauthor Index
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