31 citations · 104 across the 17 of their papers we have counts for
3 papers · 1 filter
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…
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…
Multilevel Threshold Secret and Function Sharing based on the Chinese Remainder Theorem
Oguzhan Ersoy, Kamer Kaya, Kerem Kaskaloglu
A recent work of Harn and Fuyou presents the first multilevel (disjunctive) threshold secret sharing scheme based on the Chinese Remainder Theorem. In this work, we first show that…