Publications

HyDia: FHE-based Facial Matching with Hybrid Approximations and Diagonalization

Published in Privacy Enhancing Technologies Symposium (PETS) 2025, 2025

This paper presents HyDia, a facial matching framework built on fully homomorphic encryption that leverages hybrid approximations and diagonalization to achieve efficient and privacy-preserving biometric comparisons.

Recommended citation: Sam Martin, Nirajan Koirala, Helena Berens, Thomas Rozgonyi, Micah Brody, Taeho Jung. (2025). 'HyDia: FHE-based Facial Matching with Hybrid Approximations and Diagonalization.' Proceedings on Privacy Enhancing Technologies, 2025(3). https://petsymposium.org/popets/2025/popets-2025-0146.php

HEProfiler: An In-Depth Profiler of Approximate Homomorphic Encryption Libraries

Published in Journal of Cryptographic Engineering, 2025

This paper presents HEProfiler, a comprehensive profiling tool for approximate homomorphic encryption libraries, enabling detailed performance analysis and comparison across different implementations.

Recommended citation: Nirajan Koirala, Jonathan Takeshita, Colin McKechney, Taeho Jung. (2025). 'HEProfiler: An In-Depth Profiler of Approximate Homomorphic Encryption Libraries.' Journal of Cryptographic Engineering, 15(2), 14. https://link.springer.com/article/10.1007/s13389-025-00377-5

Summation-based Private Segmented Membership Test from Threshold-Fully Homomorphic Encryption

Published in ‘Privacy Enhancing Technologies 2024’, 2024

‘This paper introduces a novel Private Segmented Membership Test (PSMT) protocol utilizing threshold-based homomorphic encryption, enabling secure queries across multiple data holders without compromising privacy.’

Recommended citation: ‘Nirajan Koirala, Jonathan Takeshita, Jeremy Stevens, Taeho Jung. (2024). "Summation-based Private Segmented Membership Test from Threshold-Fully Homomorphic Encryption." Privacy Enhancing Technologies 2024.’ ‘https://eprint.iacr.org/2024/753.pdf’