Ali Burak Ünal

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Privacy Preserving

Top Venues

Publications

Julia Jentsch, Ali Burak Ünal, Seyma Selcan Magara, Mete Akgün
Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications. CoRR (2024)
Cem Ata Baykara, Ali Burak Ünal, Mete Akgün
FHAUC: Privacy Preserving AUC Calculation for Federated Learning using Fully Homomorphic Encryption. CoRR (2024)
Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün
A Privacy-Preserving Federated Learning Approach for Kernel methods. CoRR (2023)
Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün
A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods. TPS-ISA (2023)
Sofiane Ouaari, Ali Burak Ünal, Mete Akgün, Nico Pfeifer
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach. CoRR (2023)
Ali Burak Ünal, Nico Pfeifer, Mete Akgün
ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves. NSS (2023)
Ali Burak Ünal, Mete Akgün, Nico Pfeifer
CECILIA: Comprehensive Secure Machine Learning Framework. CoRR (2022)
Yasin Ilkagan Tepeli, Ali Burak Ünal, Furkan Mustafa Akdemir, Oznur Tastan
PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering. Bioinform. 36 (21) (2021)
Mete Akgün, Ali Burak Ünal, Bekir Ergüner, Nico Pfeifer, Oliver Kohlbacher
Identifying disease-causing mutations with privacy protection. Bioinform. 36 (21) (2021)
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)
Ali Burak Ünal, Nico Pfeifer, Mete Akgün
ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation. CoRR (2021)
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)
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 (2020)
Huajie Chen, Ali Burak Ünal, Mete Akgün, Nico Pfeifer
Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation. IWSPA@CODASPY (2020)
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)
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 (2019)
Ali Burak Ünal, Öznur Tastan
Identification of Cancer Patient Subgroups via Smoothed Shortest Path Graph Kernel. CoRR (2016)