Showing cs.CRShow all
2 papers · 1 filter
cs.CR2025
Efficient and Privacy-Preserving Binary Dot Product via Multi-Party Computation
Fatemeh Jafarian Dehkordi, Elahe Vedadi, Alireza Feizbakhsh +2
Striking a balance between protecting data privacy and enabling collaborative computation is a critical challenge for distributed machine learning. While privacy-preserving techniq…
cs.CR2024
Privacy-Preserving Hierarchical Model-Distributed Inference
Fatemeh Jafarian Dehkordi, Yasaman Keshtkarjahromi, Hulya Seferoglu
This paper focuses on designing a privacy-preserving Machine Learning (ML) inference protocol for a hierarchical setup, where clients own/generate data, model owners (cloud servers…