activity
20142026
most citedTHRIVE: Threshold Homomorphic encryption based secure and privacy preserving bIometric VErification system

23 citations · 31 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption

H. Çağrı Bilgi, Kemal Mutluergil, Ceren Yıldırım +2

Anti-money laundering (AML) in financial networks requires modeling transaction patterns that span multiple institutions. In practice, however, banks cannot share account and trans…

cs.CR2026

Combining Homomorphic Encryption and Differential Privacy in Federated Learning for Model Inspection and Availability

Ceren Yıldırım, Kamer Kaya, Sinan Yıldırım +1

The increasing prevalence of decentralized data has led to a growing interest in federated learning, which enables collaborative model training without clients sharing their sensit…

cs.LG2025

MCMC for Bayesian estimation of Differential Privacy from Membership Inference Attacks

Ceren Yildirim, Kamer Kaya, Sinan Yildirim +1

We propose a new framework for Bayesian estimation of differential privacy, incorporating evidence from multiple membership inference attacks (MIA). Bayesian estimation is carried…

cs.CR2023★ 2 cited

Cryptocurrency wallets: assessment and security

Ehsan Nowroozi, Seyedsadra Seyedshoari, Yassine Mekdad +2

Digital wallet as a software program or a digital device allows users to conduct various transactions. Hot and cold digital wallets are considered as two types of this wallet. Digi…

cs.CR2022★ 3 cited

Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks

Ehsan Nowroozi, Mohammadreza Mohammadi, Erkay Savas +2

In the past few years, Convolutional Neural Networks (CNN) have demonstrated promising performance in various real-world cybersecurity applications, such as network and multimedia…

cs.CR2021★ 3 cited

ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies

Ş. S. Mağara, C. Yıldırım, F. Yaman +6

Preserving the privacy and security of big data in the context of cloud computing, while maintaining a certain level of efficiency of its processing remains to be a subject, open f…

cs.CR2014★ 23 cited

THRIVE: Threshold Homomorphic encryption based secure and privacy preserving bIometric VErification system

Cagatay Karabat, Mehmet Sabir Kiraz, Hakan Erdogan +1

In this paper, we propose a new biometric verification and template protection system which we call the THRIVE system. The system includes novel enrollment and authentication proto…