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20212024
most citedToward Lossless Homomorphic Encryption for Scientific Computation

1 citations · 3 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024

Ares: Approximate Representations via Efficient Sparsification -- A Stateless Approach through Polynomial Homomorphism

Dongfang Zhao

The increasing prevalence of high-dimensional data demands efficient and scalable compression methods to support modern applications. However, existing techniques like PCA and Auto…

cs.CR20241 cited

Stateless and Non-Interactive Order-Preserving Encryption for Outsourced Databases through Subtractive Homomorphism

Dongfang Zhao

Order-preserving encryption (OPE) has been extensively studied for more than two decades in the context of outsourced databases because OPE is a key enabling technique to allow the…

cs.CR20231 cited

Toward Lossless Homomorphic Encryption for Scientific Computation

Muhammad Jahanzeb Khan, Bo Fang, Dongfang Zhao

This paper presents a comprehensive investigation into encrypted computations using the CKKS (Cheon-Kim-Kim-Song) scheme, with a focus on multi-dimensional vector operations and re…

cs.CR20231 cited

High-Performance Caching of Homomorphic Encryption for Cloud Databases

Dongfang Zhao

While homomorphic encryption (HE) has garnered significant research interest in cloud-based outsourced databases due to its algebraic properties over ciphertexts, the computational…

cs.DB2023

Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service

Muhammad Jahanzeb Khan, Rui Hu, Mohammad Sadoghi +1

Federated Learning (FL) is a machine learning approach that allows multiple clients to collaboratively learn a shared model without sharing raw data. However, current FL systems pr…

cs.CR2023

Semantically Secure Private Set Intersection over Outsourced Multi-Owner Secret-Shared Databases

Dongfang Zhao

Private set intersection (PSI) aims to allow users to find out the commonly shared items among the users without revealing other membership information. The most recently proposed…