35 citations · 49 across the 4 of their papers we have counts for
4 papers
Privacy Enhancement for Cloud-Based Few-Shot Learning
Archit Parnami, Muhammad Usama, Liyue Fan +1
Requiring less data for accurate models, few-shot learning has shown robustness and generality in many application domains. However, deploying few-shot models in untrusted environm…
A Real-Time Framework for Task Assignment in Hyperlocal Spatial Crowdsourcing
Luan Tran, Hien To, Liyue Fan +1
Spatial Crowdsourcing (SC) is a novel platform that engages individuals in the act of collecting various types of spatial data. This method of data collection can significantly red…
DPCube: Differentially Private Histogram Release through Multidimensional Partitioning
Yonghui Xiao, Li Xiong, Liyue Fan +1
Differential privacy is a strong notion for protecting individual privacy in privacy preserving data analysis or publishing. In this paper, we study the problem of differentially p…
Adaptively Sharing Time-Series with Differential Privacy
Liyue Fan, Li Xiong
Sharing real-time aggregate statistics of private data is of great value to the public to perform data mining for understanding important phenomena, such as Influenza outbreaks and…