113 citations · 335 across the 25 of their papers we have counts for
5 papers · 1 filter
Understanding Compressive Adversarial Privacy
Xiao Chen, Peter Kairouz, Ram Rajagopal
Designing a data sharing mechanism without sacrificing too much privacy can be considered as a game between data holders and malicious attackers. This paper describes a compressive…
Dual-label Deep LSTM Dereverberation For Speaker Verification
Hao Zhang, Stephen Zahorian, Xiao Chen +2
In this paper, we present a reverberation removal approach for speaker verification, utilizing dual-label deep neural networks (DNNs). The networks perform feature mapping between…
Generative Adversarial Privacy
Chong Huang, Peter Kairouz, Xiao Chen +2
We present a data-driven framework called generative adversarial privacy (GAP). Inspired by recent advancements in generative adversarial networks (GANs), GAP allows the data holde…
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning
Barak Oshri, Annie Hu, Peter Adelson +6
The UN Sustainable Development Goals allude to the importance of infrastructure quality in three of its seventeen goals. However, monitoring infrastructure quality in developing re…
A hybrid architecture for astronomical computing
Changhua Li, Chenzhou Cui, Boliang He +17
With many large science equipment constructing and putting into use, astronomy has stepped into the big data era. The new method and infrastructure of big data processing has becom…