TY - JOUR
T1 - PIVOT
T2 - 2019 PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies, PAL 2019
AU - Li, Yanying
AU - Wang, Wendy Hui
AU - Dong, Boxiang
N1 - Publisher Copyright:
Copyright © 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2019
Y1 - 2019
N2 - In this paper, we design PIVOT, a new privacy-preserving method that supports outsourcing of text data for word embedding. PIVOT includes a 1-to-many mapping function for text documents that can defend against the frequency analysis attack with provable guarantee, while preserving the word context during transformation.
AB - In this paper, we design PIVOT, a new privacy-preserving method that supports outsourcing of text data for word embedding. PIVOT includes a 1-to-many mapping function for text documents that can defend against the frequency analysis attack with provable guarantee, while preserving the word context during transformation.
UR - http://www.scopus.com/inward/record.url?scp=85063283153&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063283153&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85063283153
SN - 1613-0073
VL - 2335
SP - 77
EP - 79
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 25 March 2019 through 27 March 2019
ER -