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 |
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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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