research
∙
04/24/2023
Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population
Population censuses are vital to public policy decision-making. They pro...
share
research
∙
03/11/2023
SEM-CS: Semantic CLIPStyler for Text-Based Image Style Transfer
CLIPStyler demonstrated image style transfer with realistic textures usi...
research
∙
11/14/2022
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations
State-of-the-art empirical work has shown that visual representations le...
research
∙
09/20/2022
Generating Synthetic Population
In this paper, we provide a method to generate synthetic population at v...
research
∙
02/06/2022
BEAS: Blockchain Enabled Asynchronous Secure Federated Machine Learning
Federated Learning (FL) enables multiple parties to distributively train...
research
∙
01/19/2022
Scotch: An Efficient Secure Computation Framework for Secure Aggregation
Federated learning enables multiple data owners to jointly train a machi...
research
∙
11/12/2021
Flatee: Federated Learning Across Trusted Execution Environments
Federated learning allows us to distributively train a machine learning ...
research
∙
01/28/2021
S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training
We introduce S++, a simple, robust, and deployable framework for trainin...
research
∙
01/21/2021