Abstract
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.
Original language | English |
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Pages (from-to) | 77-79 |
Number of pages | 3 |
Journal | CEUR Workshop Proceedings |
Volume | 2335 |
State | Published - 2019 |
Event | 2019 PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies, PAL 2019 - Palo Alto, United States Duration: 25 Mar 2019 → 27 Mar 2019 |