Exploring the Accuracy and Privacy Tradeoff in AI-Driven Healthcare Through Differential Privacy

Surabhi Nayak, Sara Nayak

2025

Abstract

With the increased integration of emerging AI capabilities into the healthcare landscape, the potential for user privacy violations, ethical concerns and eventual harm to the users are some of the foremost concerns that threaten the successful and safe adoption of these capabilities. Due to these risks - misuse of this highly sensitive data, inappropriate user profiling, lack of sufficient consent and user unawareness are all factors that must be kept in mind to implement ‘privacy-by-design’ when building these features, for a medical purpose. This paper aims to look at the top-most privacy and ethical concerns in this space, and provides recommendations to help mitigate some of these risks. We also present a technical implementation of differential privacy in an attempt to demonstrate how the addition of noise to health data can significantly improve its privacy, while retaining its utility.

Paper Citation

in Harvard Style

Nayak S. and Nayak S. (2025). Exploring the Accuracy and Privacy Tradeoff in AI-Driven Healthcare Through Differential Privacy. In Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP; ISBN 978-989-758-735-1, SciTePress, pages 349-354. DOI: 10.5220/0013309500003899

in Bibtex Style

@conference{icissp25,
author={Surabhi Nayak and Sara Nayak},
title={Exploring the Accuracy and Privacy Tradeoff in AI-Driven Healthcare Through Differential Privacy},
booktitle={Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP},
year={2025},
pages={349-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013309500003899},
isbn={978-989-758-735-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP
TI - Exploring the Accuracy and Privacy Tradeoff in AI-Driven Healthcare Through Differential Privacy
SN - 978-989-758-735-1
AU - Nayak S.
AU - Nayak S.
PY - 2025
SP - 349
EP - 354
DO - 10.5220/0013309500003899
PB - SciTePress