An Integrated Approach of Differential Privacy Using Cryptographic Systems

Chitra M, Tvisha Prasad, Anshuman Bangalore Suresh

2025

Abstract

Ensuring data privacy is critical in today’s data-driven world. Differential privacy provides a mathematical framework to protect individual privacy while enabling data analysis. However, its integration with machine learning introduces challenges in maintaining model accuracy and scalability. In this work, a novel approach is proposed that combines differential privacy with cryptographic systems to enhance privacy and security. The Private Aggregation of Teacher Ensembles (PATE) algorithm is employed to train models on the Canadian Institute For Advanced Research (CIFAR) dataset and the Modified National Institute of Standards and Technology (MNIST) dataset. Privacy is achieved by aggregating noisy predictions from teacher models trained on disjoint data subsets. To further secure datasets, the Advanced Encryption Standard-Galois/Counter Mode (AES-GCM) encryption algorithm is utilized. Experimental results show that this method effectively balances strong privacy and security with high model accuracy, highlighting the potential of integrating differential privacy with cryptographic techniques in machine learning applications.

Paper Citation

in Harvard Style

M C., Prasad T. and Suresh A. (2025). An Integrated Approach of Differential Privacy Using Cryptographic Systems. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 744-747. DOI: 10.5220/0013584900004664

in Bibtex Style

@conference{incoft25,
author={Chitra M and Tvisha Prasad and Anshuman Suresh},
title={An Integrated Approach of Differential Privacy Using Cryptographic Systems},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={744-747},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013584900004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - An Integrated Approach of Differential Privacy Using Cryptographic Systems
SN - 978-989-758-763-4
AU - M C.
AU - Prasad T.
AU - Suresh A.
PY - 2025
SP - 744
EP - 747
DO - 10.5220/0013584900004664
PB - SciTePress