Privacy-preserving analytics : secure logistic regression
Much data and information have been collected about us from all aspects of our life. Sometimes, we need to do analysis on this data without violating the privacy of individuals. In this project, we present a cryptographic library that can be used to do logistic regression under encrypted data. The e...
Saved in:
Main Author: | Djonatan, Prabowo |
---|---|
Other Authors: | Ng Wee Keong |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/77126 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Privacy-preserving analytics
by: Neo, Kian How
Published: (2019) -
Privacy-preserving analytics system
by: Gwee, Hao De
Published: (2019) -
Privacy-preserving data analytics
by: Zhao, Yang
Published: (2022) -
Privacy preserving query processing on outsourced data via secure multiparty computation
by: Do, Hoang Giang
Published: (2018) -
Privacy-preserving data mining via secure multiparty computation
by: Han, Shu Guo
Published: (2010)