Ali Burak Ünal

Orcid: 0000-0002-7279-620X

According to our database1, Ali Burak Ünal authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FHAUC: Privacy Preserving AUC Calculation for Federated Learning using Fully Homomorphic Encryption.
CoRR, 2024

2023
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach.
CoRR, 2023

A Privacy-Preserving Federated Learning Approach for Kernel methods.
CoRR, 2023

A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods.
Proceedings of the 5th IEEE International Conference on Trust, 2023

ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves.
Proceedings of the Network and System Security - 17th International Conference, 2023

2022
Towards a Complete Privacy Preserving Machine Learning Pipeline.
PhD thesis, 2022

CECILIA: Comprehensive Secure Machine Learning Framework.
CoRR, 2022

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

PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering.
Bioinform., 2021

Identifying disease-causing mutations with privacy protection.
Bioinform., 2021

ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework.
Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020

Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation.
Proceedings of the IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, 2020

2019
A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine.
Proceedings of the Cryptology and Network Security - 18th International Conference, 2019

2016
Identification of Cancer Patient Subgroups via Smoothed Shortest Path Graph Kernel.
CoRR, 2016


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