Privacy-aware supervised classification: An informative subspace based multi-objective approach

Biswas, C., Ganguly, D. , Mukherjee, P., Bhattacharya, U. and Hou, Y. (2022) Privacy-aware supervised classification: An informative subspace based multi-objective approach. Pattern Recognition, 122, 108301. (doi: 10.1016/j.patcog.2021.108301)

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Abstract

Sharing the raw or an abstract representation of a labelled dataset on cloud platforms can potentially expose sensitive information of the data to an adversary, e.g., in the case of an emotion classification task from text, an adversary-agnostic abstract representation of the text data may eventually lead an adversary to identify the demographics of the authors, such as their gender and age. In this paper, we propose a universal defence mechanism against such malicious attempts of stealing sensitive information from data shared on cloud platforms. More specifically, our proposed method employs an informative subspace based multi-objective approach to obtain a sensitive information aware encoding of the data representation. A number of experiments conducted on both standard text and image datasets demonstrate that our proposed approach is able to reduce the effectiveness of the adversarial task (i.e., in other words is able to better protect the sensitive information of the data) without significantly reducing the effectiveness of the primary task itself.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ganguly, Dr Debasis
Authors: Biswas, C., Ganguly, D., Mukherjee, P., Bhattacharya, U., and Hou, Y.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Pattern Recognition
Publisher:Elsevier
ISSN:0031-3203
ISSN (Online):1873-5142
Published Online:03 September 2021
Copyright Holders:Copyright © 2021 Elsevier Ltd
First Published:First published in Pattern Recognition 122:108301
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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