Locally private estimation of conditional probability distribution for random forest in multimedia applications

Wu, Xiaotong and Bilal, Muhammad and Xu, Xiaolong and Song, Houbing (2023) Locally private estimation of conditional probability distribution for random forest in multimedia applications. Information Sciences, 642: 119111. ISSN 0020-0255

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Abstract

The application of artificial intelligence models to raw multimedia data is susceptible to various data inference attacks, posing a significant risk in terms of sensitive input information leakage. Most of the existing studies on privacy-preserving multimedia applications based on artificial intelligence, focus on a single intelligent model and thus have various limitations. In this paper, we attempt to directly perturb the core component of many multimedia intelligent models in Bayesian networks and deep learning. That is, we apply conditional probability distribution estimation to guarantee the privacy of the models. At first, we present the formal problem formulation of private conditional probability distribution estimation and apply it to random forest for task classification in multimedia applications. Then, we design a simple perturbation approach called NAIVEPRIVDISTEST, to add noise to all the elements of probability estimation in random forest. Next, we present an improved approach called FASTLRG, that utilizes the taxonomy tree to discretize the continuous attributes, thereby combining the attribute features to improve the prediction accuracy of random forest. Finally, we perform extensive experiments to evaluate the performance of random forest based on the proposed estimation algorithms. The experimental results indicate that the proposed models have better performance compared with existing private decision trees.

Item Type:
Journal Article
Journal or Publication Title:
Information Sciences
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? attribute perturbationdistribution estimationmultimedia applicationsprivacy protectionrandom decision treesoftwarecontrol and systems engineeringtheoretical computer sciencecomputer science applicationsinformation systems and managementartificial intellig ??
ID Code:
205107
Deposited By:
Deposited On:
25 Sep 2023 10:50
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 00:14