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Nico Pfeifer

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Mete Akgün

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Publications

2023
[c9]
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  - conf/nss/UnalPA23
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Ali Burak Ünal, Nico Pfeifer, Mete Akgün:
ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves. NSS 2023: 265-280
[i9]
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  - journals/corr/abs-2309-04427
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Sofiane Ouaari, Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach. CoRR abs/2309.04427 (2023)
2022
[j17]
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  - journals/bioinformatics/AkgunPK22
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Mete Akgün, Nico Pfeifer, Oliver Kohlbacher:
Efficient privacy-preserving whole-genome variant queries. Bioinform. 38(8): 2202-2210 (2022)
[i8]
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  - journals/corr/abs-2202-03023
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Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
CECILIA: Comprehensive Secure Machine Learning Framework. CoRR abs/2202.03023 (2022)
[i6]
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  - journals/corr/abs-2212-03481
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Marius de Arruda Botelho Herr, Michael Graf, Peter Placzek, Florian König, Felix Bötte, Tyra Stickel, David Hieber, Lukas Zimmermann, Michael Slupina, Christopher Mohr, Stephanie Biergans, Mete Akgün, Nico Pfeifer, Oliver Kohlbacher:
Bringing the Algorithms to the Data - Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC). CoRR abs/2212.03481 (2022)
2021
[j16]
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  - journals/bioinformatics/AkgunUEPK21
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Mete Akgün, Ali Burak Ünal, Bekir Ergüner, Nico Pfeifer, Oliver Kohlbacher:
Identifying disease-causing mutations with privacy protection. Bioinform. 36(21): 5205-5213 (2021)
[c8]
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  - conf/aaai/UnalAP21
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Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. AAAI 2021: 9988-9996
[i5]
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  - journals/corr/abs-2102-08788
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Ali Burak Ünal, Nico Pfeifer, Mete Akgün:
ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation. CoRR abs/2102.08788 (2021)
2020
[c7]
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  - conf/codaspy/ChenUAP20
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Huajie Chen, Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation. IWSPA@CODASPY 2020: 61-69
[c6]
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  - conf/etra/BozkirUAKP20
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Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, Nico Pfeifer:
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework. ETRA Short Papers 2020: 21:1-21:5
[i3]
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  - journals/corr/abs-2012-02688
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Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. CoRR abs/2012.02688 (2020)
2019
[c5]
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  - conf/cans/UnalAP19
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Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine. CANS 2019: 493-511
[i2]
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  - journals/corr/abs-1911-07936
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Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, Nico Pfeifer:
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework. CoRR abs/1911.07936 (2019)

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