Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization

Article Details
Title:	Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization
Article URLs:	https://doi.org/10.1109/SP.2017.60 http://doi.ieeecomputersociety.org/10.1109/SP.2017.60
Alternative Article URLs:	We have a TR on arxiv that describes some more recent developments for the system we described in our paper. Most of the new content is in the appendix. https://arxiv.org/abs/1705.07512
Authors:	Mathias Lécuyer	Columbia University
	Riley Spahn	Columbia University
	Roxana Geambasu	Columbia University
	Tzu-Kuo Huang	Uber Advanced Technologies Group
	Siddhartha Sen	Microsoft Research
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	none
Artifact URLs:	https://columbia.github.io/selective-data-systems/
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1351089, 1514437
DBLP Key:	conf/sp/LecuyerSGHS17
Author Comments:

IEEE Security and Privacy, S&P 2017