726 citations · 2.2k across the 66 of their papers we have counts for
5 papers · 1 filter
Crypto-Nets: Neural Networks over Encrypted Data
Pengtao Xie, Misha Bilenko, Tom Finley +3
The problem we address is the following: how can a user employ a predictive model that is held by a third party, without compromising private information. For example, a hospital m…
Cauchy Principal Component Analysis
Pengtao Xie, Eric Xing
Principal Component Analysis (PCA) has wide applications in machine learning, text mining and computer vision. Classical PCA based on a Gaussian noise model is fragile to noise of…
Large Scale Distributed Distance Metric Learning
Pengtao Xie, Eric Xing
In large scale machine learning and data mining problems with high feature dimensionality, the Euclidean distance between data points can be uninformative, and Distance Metric Lear…
Distributed Machine Learning via Sufficient Factor Broadcasting
Pengtao Xie, Jin Kyu Kim, Yi Zhou +4
Matrix-parametrized models, including multiclass logistic regression and sparse coding, are used in machine learning (ML) applications ranging from computer vision to computational…
CryptGraph: Privacy Preserving Graph Analytics on Encrypted Graph
Pengtao Xie, Eric Xing
Many graph mining and analysis services have been deployed on the cloud, which can alleviate users from the burden of implementing and maintaining graph algorithms. However, puttin…