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Inverting Gradients - How easy is it to break privacy in federated learning?
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller: Inverting Gradients - How easy is it to break privacy in federated learning? CoRR abs/2003.14053 (2020)
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Inverting Gradients - How easy is it to break privacy in federated learning?
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller: Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS 2020
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Learning or Modelling? An Analysis of Single Image Segmentation Based on...
Hannah Dröge, Michael Möller: Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information. ICIP 2021: 2274-2278
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Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization.
Hannah Dröge, Baichuan Yuan, Rafael Llerena, Jesse T. Yen, Michael Möller, Andrea L. Bertozzi: Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. J. Imaging 7(10): 213 (2021)
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Non-Smooth Energy Dissipating Networks.
Hannah Dröge, Thomas Möllenhoff, Michael Möller: Non-Smooth Energy Dissipating Networks. ICIP 2022: 3281-3285
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Explorable Data Consistent CT Reconstruction.
Hannah Dröge, Yuval Bahat, Felix Heide, Michael Moeller: Explorable Data Consistent CT Reconstruction. BMVC 2022: 746
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Kissing to Find a Match: Efficient Low-Rank Permutation Representation.
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller: Kissing to Find a Match: Efficient Low-Rank Permutation Representation. CoRR abs/2308.13252 (2023)
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Evaluating Adversarial Robustness of Low dose CT Recovery.
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller: Evaluating Adversarial Robustness of Low dose CT Recovery. MIDL 2023: 1545-1563
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Kissing to Find a Match: Efficient Low-Rank Permutation Representation.
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller: Kissing to Find a Match: Efficient Low-Rank Permutation Representation. NeurIPS 2023
View ArticleRobustness and Exploration of Variational and Machine Learning Approaches to...
Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller: Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. CoRR...
View ArticleEvaluating Adversarial Robustness of Low dose CT Recovery.
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller: Evaluating Adversarial Robustness of Low dose CT Recovery. CoRR abs/2402.11557 (2024)
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