12 citations · 14 across the 2 of their papers we have counts for
6 papers
VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version)
Boxiang Dong, Bo Zhang, Hui +1
Deep neural networks (DNNs) are prominent due to their superior performance in many fields. The deep-learning-as-a-service (DLaaS) paradigm enables individuals and organizations (c…
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack
Bo Zhang, Ruotong Yu, Haipei Sun +3
Machine learning algorithms, when applied to sensitive data, pose a potential threat to privacy. A growing body of prior work has demonstrated that membership inference attack (MIA…
Cost-efficient Data Acquisition on Online Data Marketplaces for Correlation Analysis
Yanying Li, Haipei Sun, Boxiang Dong +2
Incentivized by the enormous economic profits, the data marketplace platform has been proliferated recently. In this paper, we consider the data marketplace setting where a data sh…
Integrity Authentication for SQL Query Evaluation on Outsourced Databases: A Survey
Bo Zhang, Boxiang Dong, Hui Wang
Spurred by the development of cloud computing, there has been considerable recent interest in the Database-as-a-Service (DaaS) paradigm. Users lacking in expertise or computational…
Efficient Authentication of Outsourced String Similarity Search
Boxiang Dong, Hui Wang
Cloud computing enables the outsourcing of big data analytics, where a third party server is responsible for data storage and processing. In this paper, we consider the outsourcing…
Frequency-hiding Dependency-preserving Encryption for Outsourced Databases
Boxiang Dong, Hui Wendy Wang
The cloud paradigm enables users to outsource their data to computationally powerful third-party service providers for data management. Many data management tasks rely on the data…