Ali Burak Ünal

33 papers A* 1B 2C 1Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating probabilistic privacy-preserving medical record linkage: A three-party MPC approach. J. Biomed. Informatics Seyma Selcan Magara, Noah J. M. Dietrich, Ali Burak Ünal, Mete Akgün
2025	J	`jnl`	Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning. CoRR Ali Burak Ünal, Cem Ata Baykara, Peter Krawitz, Mete Akgün
2025	—	`conf`	Enabling Privacy-Preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption. TPS-ISA Cem Ata Baykara, Ali Burak Ünal, Mete Akgün
2025	J	`jnl`	Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets. CoRR Cem Ata Baykara, Saurav Raj Pandey, Ali Burak Ünal, Harlin Lee, Mete Akgün
2025	J	`jnl`	Privacy-preserving federated unsupervised domain adaptation with application to age prediction from DNA methylation data. Bioinform. Cem Ata Baykara, Ali Burak Ünal, Nico Pfeifer, Mete Akgün
2025	J	`jnl`	Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach. IEEE Access Sofiane Ouaari, Ali Burak Ünal, Mete Akgün, Nico Pfeifer
2025	J	`jnl`	Secure and Efficient Logistic Regression With Secret-Sharing MPC and Differential Privacy. IEEE Access Seyma Selcan Magara, Ipek Motorcu, Emin Sahin Mektepli, Cem Ata Baykara, Ali Burak Ünal, Mete Akgün
2025	J	`jnl`	Unsupervised Multi-Source Federated Domain Adaptation under Domain Diversity through Group-Wise Discrepancy Minimization. CoRR Larissa Reichart, Cem Ata Baykara, Ali Burak Ünal, Harlin Lee, Mete Akgün
2024	J	`jnl`	A privacy-preserving approach for cloud-based protein fold recognition. Patterns Ali Burak Ünal, Nico Pfeifer, Mete Akgün
2024	J	`jnl`	Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach. CoRR Seyma Selcan Magara, Noah J. M. Dietrich, Ali Burak Ünal, Mete Akgün
2024	J	`jnl`	FHAUC: Privacy Preserving AUC Calculation for Federated Learning using Fully Homomorphic Encryption. CoRR Cem Ata Baykara, Ali Burak Ünal, Mete Akgün
2024	J	`jnl`	PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies. CoRR Arjhun Swaminathan, Anika Hannemann, Ali Burak Ünal, Nico Pfeifer, Mete Akgün
2024	C	`conf`	Privacy Preserving Data Imputation via Multi-Party Computation for Medical Applications. HealthCom Julia Jentsch, Ali Burak Ünal, Seyma Selcan Magara, Mete Akgün
2024	J	`jnl`	Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications. CoRR Julia Jentsch, Ali Burak Ünal, Seyma Selcan Magara, Mete Akgün
2024	J	`jnl`	Privacy Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation Data. CoRR Cem Ata Baykara, Ali Burak Ünal, Nico Pfeifer, Mete Akgün
2024	—	`conf`	Private, Efficient and Scalable Kernel Learning for Medical Image Analysis. CIBB Anika Hannemann, Arjhun Swaminathan, Ali Burak Ünal, Mete Akgün
2024	J	`jnl`	Private, Efficient and Scalable Kernel Learning for Medical Image Analysis. CoRR Anika Hannemann, Arjhun Swaminathan, Ali Burak Ünal, Mete Akgün
2023	J	`jnl`	A Privacy-Preserving Federated Learning Approach for Kernel methods. CoRR Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün
2023	—	`conf`	A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods. TPS-ISA Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün
2023	J	`jnl`	Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach. CoRR Sofiane Ouaari, Ali Burak Ünal, Mete Akgün, Nico Pfeifer
2023	B	`conf`	ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves. NSS Ali Burak Ünal, Nico Pfeifer, Mete Akgün
2022	J	`jnl`	CECILIA: Comprehensive Secure Machine Learning Framework. CoRR Ali Burak Ünal, Mete Akgün, Nico Pfeifer
2022	—	`—`	Towards a Complete Privacy Preserving Machine Learning Pipeline. Ali Burak Ünal
2021	A*	`conf`	ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. AAAI Ali Burak Ünal, Mete Akgün, Nico Pfeifer
2021	J	`jnl`	Identifying disease-causing mutations with privacy protection. Bioinform. Mete Akgün, Ali Burak Ünal, Bekir Ergüner, Nico Pfeifer, Oliver Kohlbacher
2021	J	`jnl`	PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering. Bioinform. Yasin Ilkagan Tepeli, Ali Burak Ünal, Furkan Mustafa Akdemir, Öznur Tastan
2021	J	`jnl`	ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation. CoRR Ali Burak Ünal, Nico Pfeifer, Mete Akgün
2020	J	`jnl`	ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. CoRR Ali Burak Ünal, Mete Akgün, Nico Pfeifer
2020	—	`conf`	Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework. ETRA Short Papers Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, Nico Pfeifer
2020	—	`conf`	Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation. IWSPA@CODASPY Huajie Chen, Ali Burak Ünal, Mete Akgün, Nico Pfeifer
2019	B	`conf`	A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine. CANS Ali Burak Ünal, Mete Akgün, Nico Pfeifer
2019	J	`jnl`	Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework. CoRR Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, Nico Pfeifer
2016	J	`jnl`	Identification of Cancer Patient Subgroups via Smoothed Shortest Path Graph Kernel. CoRR Ali Burak Ünal, Öznur Tastan