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Nico Pfeifer

Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach

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Sep 08, 2023
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PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction

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Jan 16, 2023
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Bringing the Algorithms to the Data -- Secure Distributed Medical Analytics using the Personal Health Train

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Dec 07, 2022
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COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data

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Dec 02, 2022
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CECILIA: Comprehensive Secure Machine Learning Framework

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Feb 07, 2022
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Convolutional Motif Kernel Networks

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Nov 03, 2021
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ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation

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Feb 17, 2021
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ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare

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Dec 04, 2020
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Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework

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Nov 06, 2019
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An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes

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Nov 20, 2018
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