Many convex optimization problems with important applications in machine...
Data cleaning is crucial but often laborious in most machine learning (M...
Large-scale Transformer models are known for their exceptional performan...
Community search is a problem that seeks cohesive and connected subgraph...
In many Internet of Things (IoT) applications, data sensed by an IoT dev...
Exploratory Data Analysis (EDA) is a crucial step in any data science
pr...
We present Virtual Secure Platform (VSP), the first comprehensive platfo...
Federated learning (FL) is a distributed learning protocol in which a se...
The strict security requirements placed on medical records by various pr...
Sentiment classification is a fundamental task in content analysis. Alth...
In this work, we propose ENSEI, a secure inference (SI) framework based ...
Due to increasing privacy concerns, neural network (NN) based secure
inf...
Graph Neural Nets (GNNs) have received increasing attentions, partially ...
Graph similarity search is among the most important graph-based applicat...