On the Protection of Private Information in Machine Learning Systems: Two Recent Approches

Article Details
Title:	On the Protection of Private Information in Machine Learning Systems: Two Recent Approches
Article URLs:	https://doi.org/10.1109/CSF.2017.10 http://doi.ieeecomputersociety.org/10.1109/CSF.2017.10
Alternative Article URLs:
Authors:	Martín Abadi	Google
	Úlfar Erlingsson	Google
	Ian J. Goodfellow	Google
	H. Brendan McMahan	Google
	Ilya Mironov	Google
	Nicolas Papernot	Google
	Kunal Talwar	Google
	Li Zhang	Google
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	none
Artifact URLs:	https://github.com/tensorflow/privacy
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key:	conf/csfw/AbadiEGMMPTZ17
Author Comments:

IEEE Computer Security Foundations Symposium, CSF 2017