New Results on the Key Scheduling Algorithm of RC4. - Mete Akgün; Pinar Kavak; Hüseyin Demirci (INDOCRYPT, 2008)

Secure RFID Authentication with Efficient Key-Lookup. - Mete Akgün; M. Ufuk Çaglayan; Emin Anarim (GLOBECOM, 2009)

A new RFID authentication protocol with resistance to server impersonation. - Mete Akgün; M. Ufuk Çaglayan; Emin Anarim (IPDPS, 2009)

Non-uniform Stepping Approach to RFID Distance Bounding Problem. - Ali Özhan Gürel; Atakan Arslan; Mete Akgün (DPM/SETOP, 2010)

Attacks to a lightweight RFID mutual authentication protocol. - Mete Akgün; Ali Özhan Gürel; Mehmet Ufuk Çaglayan (ICITST, 2010)

Extending an RFID Security and Privacy Model by Considering Forward Untraceability. - Mete Akgün; Mehmet Ufuk Çaglayan (STM, 2010)

PUF Based Scalable Private RFID Authentication. - Mete Akgün; M. Ufuk Çaglayan (ARES, 2011)

Alternative PPM Model for Quality Score Compression. - Mete Akgün; Mahmut Samil Sagiroglu (BIOINFORMATICS, 2013)

A new PPM model for quality score compression. - Mete Akgün; Mahmut Samil Sagiroglu (SIU, 2013)

Weaknesses in a Recently Proposed RFID Authentication Protocol. - Mete Akgün; M. Ufuk Çaglayan (IACR Cryptol. ePrint Arch., 2013)

Human Genome in a Smart Card. - Mete Akgün; Bekir Ergüner; Ali Osman Bayrak; Mahmut Samil Sagiroglu (HEALTHINF, 2014)

Vulnerabilities of RFID Security Protocol Based on Chaotic Maps. - Mete Akgün; Tubitak Uekae; M. Ufuk Çaglayan (ICNP, 2014)

Weaknesses of two RFID protocols regarding de-synchronization attacks. - Mete Akgün; M. Ufuk Çaglayan (IWCMC, 2015)

Providing destructive privacy and scalability in RFID systems using PUFs. - Mete Akgün; M. Ufuk Çaglayan (Ad Hoc Networks, 2015)

Privacy preserving processing of genomic data: A survey. - Mete Akgün; Ali Osman Bayrak; Bugra Ozer; Mahmut Samil Sagiroglu (J. Biomed. Informatics, 2015)

Attacks and improvements to chaotic map-based RFID authentication protocol. - Mete Akgün; Ali Osman Bayrak; Mehmet Ufuk Çaglayan (Secur. Commun. Networks, 2015)

FMFilter: A fast model based variant filtering tool. - Mete Akgün; Ö. Faruk Gerdan; Zeliha Görmez; Hüseyin Demirci (J. Biomed. Informatics, 2016)

Towards Scalable Identification in RFID Systems. - Mete Akgün; Mehmet Ufuk Çaglayan (Wirel. Pers. Commun., 2016)

Security and privacy of RFID protocols (RFID protokollerinin güvenliği ve gizliliği) - Mete Akgün (2016)

VCF-Explorer: filtering and analysing whole genome VCF files. - Mete Akgün; Hüseyin Demirci (Bioinform., 2017)

A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine. - Ali Burak Ünal; Mete Akgün; Nico Pfeifer (CANS, 2019)

Eye Tracking Data Collection Protocol for VR for Remotely Located Subjects using Blockchain and Smart Contracts. - Efe Bozkir; Shahram Eivazi; Mete Akgün; Enkelejda Kasneci (AIVR, 2020)

Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation. - Huajie Chen; Ali Burak Ünal; Mete Akgün; Nico Pfeifer (IWSPA@CODASPY, 2020)

Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework. - Efe Bozkir; Ali Burak Ünal; Mete Akgün; Enkelejda Kasneci; Nico Pfeifer (ETRA Short Papers, 2020)

ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. - Ali Burak Ünal; Mete Akgün; Nico Pfeifer (AAAI, 2021)

Identifying disease-causing mutations with privacy protection. - Mete Akgün; Ali Burak Ünal; Bekir Ergüner; Nico Pfeifer; Oliver Kohlbacher (Bioinform., 2021)

ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation. - Ali Burak Ünal; Nico Pfeifer; Mete Akgün (CoRR, 2021)

Efficient privacy-preserving whole-genome variant queries. - Mete Akgün; Nico Pfeifer; Oliver Kohlbacher (Bioinform., 2022)

CECILIA: Comprehensive Secure Machine Learning Framework. - Ali Burak Ünal; Mete Akgün; Nico Pfeifer (CoRR, 2022)

Bringing the Algorithms to the Data - Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC). - Marius de Arruda Botelho Herr; Michael Graf; Peter Placzek; Florian König; Felix Bötte; Tyra Stickel; David Hieber; Lukas Zimmermann; Michael Slupina; Christopher Mohr; Stephanie Biergans; Mete Akgün; et al. (CoRR, 2022)

ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves. - Ali Burak Ünal; Nico Pfeifer; Mete Akgün (NSS, 2023)

A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods. - Anika Hannemann; Ali Burak Ünal; Arjhun Swaminathan; Erik Buchmann; Mete Akgün (TPS-ISA, 2023)

A Privacy-Preserving Scheme for Smart Grid Using Trusted Execution Environment. - Mete Akgün; Elif Ustundag Soykan; Gürkan Soykan 001 (IEEE Access, 2023)

A Privacy-Preserving Federated Learning Approach for Kernel methods. - Anika Hannemann; Ali Burak Ünal; Arjhun Swaminathan; Erik Buchmann; Mete Akgün (CoRR, 2023)

Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach. - Sofiane Ouaari; Ali Burak Ünal; Mete Akgün; Nico Pfeifer (CoRR, 2023)

Scalable RFID authentication protocol based on physically unclonable functions. - Isil Kurt; Fatih Alagöz; Mete Akgün (Comput. Networks, 2023)

Private, Efficient and Scalable Kernel Learning for Medical Image Analysis. - Anika Hannemann; Arjhun Swaminathan; Ali Burak Ünal; Mete Akgün (CIBB, 2024)

Dynamic k-Anonymity for Electronic Health Records: A Topological Framework. - Arjhun Swaminathan; Mete Akgün (ESORICS Workshops (1), 2024)

Privacy Preserving Data Imputation via Multi-Party Computation for Medical Applications. - Julia Jentsch; Ali Burak Ünal; Seyma Selcan Magara; Mete Akgün (HealthCom, 2024)

FHAUC: Privacy Preserving AUC Calculation for Federated Learning using Fully Homomorphic Encryption. - Cem Ata Baykara; Ali Burak Ünal; Mete Akgün (CoRR, 2024)

PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies. - Arjhun Swaminathan; Anika Hannemann; Ali Burak Ünal; Nico Pfeifer; Mete Akgün (CoRR, 2024)

Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach. - Seyma Selcan Magara; Noah Dietrich; Ali Burak Ünal; Mete Akgün (CoRR, 2024)

Privacy Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation Data. - Cem Ata Baykara; Ali Burak Ünal; Nico Pfeifer; Mete Akgün (CoRR, 2024)

A privacy-preserving approach for cloud-based protein fold recognition. - Ali Burak Ünal; Nico Pfeifer; Mete Akgün (Patterns, 2024)

Secure and Efficient Logistic Regression With Secret-Sharing MPC and Differential Privacy. - Seyma Selcan Magara; Ipek Motorcu; Emin Sahin Mektepli; Cem Ata Baykara; Ali Burak Ünal; Mete Akgün (IEEE Access, 2025)

Distributed and Secure Kernel-Based Quantum Machine Learning. - Arjhun Swaminathan; Mete Akgün (Trans. Mach. Learn. Res., 2025)

Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box Settings. - Arjhun Swaminathan; Mete Akgün (CoRR, 2025)

Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets. - Cem Ata Baykara; Saurav Raj Pandey; Ali Burak Ünal; Harlin Lee; Mete Akgün (CoRR, 2025)