2 citations · 8 across the 10 of their papers we have counts for
10 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…
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…
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…
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…
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…