papers

Publications (10)

cs.CR2016

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…

cs.CR2019

AuthPDB: Query Authentication for Outsourced Probabilistic Databases

Bo Zhang, Boxiang Dong, Hui Wang

Spurred by developments such as cloud computing, there are increasing efforts for outsourcing of data management. A company (data owner) who lacks expertise and comptational resour…

cs.CR2021

Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss

Boxiang Dong, Hui, Wang +5

Cyber attacks pose crucial threats to computer system security, and put digital treasuries at excessive risks. This leads to an urgent call for an effective intrusion detection sys…

cs.CR2018

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…

cs.CR2018

Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy

Haipei Sun, Boxiang Dong, Hui +3

Crowdsourcing has arisen as a new problem-solving paradigm for tasks that are difficult for computers but easy for humans. However, since the answers collected from the recruited p…

cs.CR2021

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…

cs.DB2016

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…

cs.CV2021

Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition

Boxiang Dong, Aparna S. Varde, Danilo Stevanovic +2

Handwriting recognition is of crucial importance to both Human Computer Interaction (HCI) and paperwork digitization. In the general field of Optical Character Recognition (OCR), h…

cs.DB2018

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…

cs.CR2016

GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems

Boxiang Dong, Zhengzhang Chen, Hui Wang +5

Intrusion detection system (IDS) is an important part of enterprise security system architecture. In particular, anomaly-based IDS has been widely applied to detect abnormal proces…