| Privacy preserving gaze estimation using synthetic images via a randomized encoding based framework E Bozkir, AB Ünal, M Akgün, E Kasneci, N Pfeifer ACM symposium on eye tracking research and applications, 1-5, 2020 | 43 | 2020 |
| PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering YI Tepeli, AB Ünal, FM Akdemir, O Tastan Bioinformatics 36 (21), 5237-5246, 2020 | 31 | 2020 |
| Privacy-preserving SVM on outsourced genomic data via secure multi-party computation H Chen, AB Ünal, M Akgün, N Pfeifer Proceedings of the Sixth International Workshop on Security and Privacy …, 2020 | 16 | 2020 |
| Identifying disease-causing mutations with privacy protection M Akgün, AB Ünal, B Ergüner, N Pfeifer, O Kohlbacher Bioinformatics 36 (21), 5205-5213, 2020 | 8 | 2020 |
| Escaped: Efficient secure and private dot product framework for kernel-based machine learning algorithms with applications in healthcare AB Ünal, M Akgün, N Pfeifer Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9988-9996, 2021 | 7 | 2021 |
| A framework with randomized encoding for a fast privacy preserving calculation of non-linear kernels for machine learning applications in precision medicine AB Ünal, M Akgün, N Pfeifer Cryptology and Network Security: 18th International Conference, CANS 2019 …, 2019 | 6 | 2019 |
| A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods A Hannemann, AB Ünal, A Swaminathan, E Buchmann, M Akgün 2023 5th IEEE International Conference on Trust, Privacy and Security in …, 2023 | 4 | 2023 |
| Cecilia: Comprehensive secure machine learning framework AB Ünal, N Pfeifer, M Akgün arXiv preprint arXiv:2202.03023, 2022 | 3 | 2022 |
| ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves with Secure 3-Party Computation AB Ünal, N Pfeifer, M Akgün arXiv preprint arXiv:2102.08788, 2021 | 3* | 2021 |
| PAMOGK: a pathway graph kernel based multi-omics clustering approach for discovering cancer patient subgroups YI Tepeli, AB Ünal, FM Akdemir, O Tastan bioRxiv, 834168, 2019 | 3 | 2019 |
| Identification of cancer patient subgroups via smoothed shortest path graph kernel AB Ünal, Ö Taştan arXiv preprint arXiv:1612.04431, 2016 | 2 | 2016 |
| Private, efficient and scalable kernel learning for medical image analysis A Hannemann, A Swaminathan, AB Ünal, M Akgün arXiv preprint arXiv:2410.15840, 2024 | 1 | 2024 |
| PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies A Swaminathan, A Hannemann, AB Ünal, N Pfeifer, M Akgün arXiv preprint arXiv:2410.08122, 2024 | 1 | 2024 |
| A privacy-preserving approach for cloud-based protein fold recognition AB Ünal, N Pfeifer, M Akgün Patterns 5 (9), 2024 | 1 | 2024 |
| A Privacy-Preserving Federated Learning Approach for Kernel methods A Hannemann, AB Ünal, A Swaminathan, E Buchmann, M Akgün arXiv preprint arXiv:2306.02677, 2023 | 1 | 2023 |
| Identification of cancer patient subgroups via pathway based multi-view graph kernel clustering AB Ünal PQDT-Global, 2017 | 1 | 2017 |
| Privacy Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation Data CA Baykara, AB Ünal, N Pfeifer, M Akgün arXiv preprint arXiv:2411.17287, 2024 | | 2024 |
| Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach ŞS Mağara, N Dietrich, AB Ünal, M Akgün arXiv preprint arXiv:2410.21605, 2024 | | 2024 |
| Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach Ş Selcan Mağara, N Dietrich, AB Ünal, M Akgün arXiv e-prints, arXiv: 2410.21605, 2024 | | 2024 |
| Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications J Jentsch, AB Ünal, ŞS Mağara, M Akgün arXiv preprint arXiv:2405.18878, 2024 | | 2024 |
Mete AkgünGroup Leader @ University of TübingenVerified email at uni-tuebingen.de
