activity
20182020
most citedLocally Differentially Private Naive Bayes Classification

12 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR20202 cited

Utility-aware Privacy-preserving Data Releasing

Di Zhuang, J. Morris Chang

In the big data era, more and more cloud-based data-driven applications are developed that leverage individual data to provide certain valuable services (the utilities). On the oth…

cs.AI20204 cited

SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System

Di Zhuang, Nam Nguyen, Keyu Chen +1

As the advancement of deep learning (DL), the Internet of Things and cloud computing techniques for biomedical and healthcare problems, mobile healthcare systems have received unpr…

cs.CV2020

CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification

Di Zhuang, Keyu Chen, J. Morris Chang

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in skin lesion analysis. Compared with single CNN classifier, combining the results of multiple…

cs.LG201912 cited

Locally Differentially Private Naive Bayes Classification

Emre Yilmaz, Mohammad Al-Rubaie, J. Morris Chang

In machine learning, classification models need to be trained in order to predict class labels. When the training data contains personal information about individuals, collecting t…

cs.CR2018

Enhanced PeerHunter: Detecting Peer-to-peer Botnets through Network-Flow Level Community Behavior Analysis

Di Zhuang, J. Morris Chang

Peer-to-peer (P2P) botnets have become one of the major threats in network security for serving as the fundamental infrastructure for various cyber-crimes. More challenges are invo…