Synthesizing Plausible Privacy-Preserving Location Traces
10.1109/SP.2016.39
Saved in:
Main Authors: | Bindschaedler, Vincent, Shokri, Reza |
---|---|
Other Authors: | DEPT OF COMPUTER SCIENCE |
Format: | Conference or Workshop Item |
Published: |
IEEE
2020
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/172938 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Privacy-Preserving Deep Learning
by: Shokri, Reza, et al.
Published: (2020) -
Plausible deniability for privacy-preserving data synthesis
by: Bindschaedler, Vincent, et al.
Published: (2020) -
Machine Learning with Membership Privacy using Adversarial Regularization
by: Nasr, Milad, et al.
Published: (2020) -
Location privacy-preserving mobile crowd sensing with anonymous reputation
by: Yi, Xun, et al.
Published: (2020) -
Privacy-preserving user profile matching in social networks
by: Yi, Xun, et al.
Published: (2020)