A review of homomorphic encryption for privacy-preserving biometrics

W Yang, S Wang, H Cui, Z Tang, Y Li - Sensors, 2023 - mdpi.com
The advancement of biometric technology has facilitated wide applications of biometrics in
law enforcement, border control, healthcare and financial identification and verification …

Vulnerabilities in federated learning

N Bouacida, P Mohapatra - IEEE Access, 2021 - ieeexplore.ieee.org
With more regulations tackling the protection of users' privacy-sensitive data in recent years,
access to such data has become increasingly restricted. A new decentralized training …

Verifiable fully homomorphic encryption

A Viand, C Knabenhans, A Hithnawi - arXiv preprint arXiv:2301.07041, 2023 - arxiv.org
Fully Homomorphic Encryption (FHE) is seeing increasing real-world deployment to protect
data in use by allowing computation over encrypted data. However, the same malleability …

Towards secure big data analysis via fully homomorphic encryption algorithms

R Hamza, A Hassan, A Ali, MB Bashir, SM Alqhtani… - Entropy, 2022 - mdpi.com
Privacy-preserving techniques allow private information to be used without compromising
privacy. Most encryption algorithms, such as the Advanced Encryption Standard (AES) …

Princess: Privacy-protecting rare disease international network collaboration via encryption through software guard extensions

F Chen, S Wang, X Jiang, S Ding, Y Lu, J Kim… - …, 2017 - academic.oup.com
Motivation We introduce PRINCESS, a privacy-preserving international collaboration
framework for analyzing rare disease genetic data that are distributed across different …

Fully homomorphic encryption beyond IND-CCA1 security: Integrity through verifiability

M Manulis, J Nguyen - Annual International Conference on the Theory and …, 2024 - Springer
We focus on the problem of constructing fully homomorphic encryption (FHE) schemes that
achieve some meaningful notion of adaptive chosen-ciphertext security beyond CCA1 …

On the IND-CCA1 security of FHE schemes

P Fauzi, MN Hovd, H Raddum - Cryptography, 2022 - mdpi.com
Fully homomorphic encryption (FHE) is a powerful tool in cryptography that allows one to
perform arbitrary computations on encrypted material without having to decrypt it first. There …

Security and searchability in secret sharing-based data outsourcing

MA Hadavi, R Jalili, E Damiani, S Cimato - International Journal of …, 2015 - Springer
A major challenge organizations face when hosting or moving their data to the Cloud is how
to support complex queries over outsourced data while preserving their confidentiality. In …

Performance analysis of sorting of FHE data: integer-wise comparison vs bit-wise comparison

H Narumanchi, D Goyal, N Emmadi… - 2017 IEEE 31st …, 2017 - ieeexplore.ieee.org
In this paper, we present the exact method for an integer-wise comparison technique in FHE
domain using polynomial interpolaion and analyze the performance against bit-wise …

A practical full key recovery attack on tfhe and fhew by inducing decryption errors

B Chaturvedi, A Chakraborty, A Chatterjee… - Cryptology ePrint …, 2022 - eprint.iacr.org
Abstract Fully Homomorphic Encryption (FHE) promises to secure our data on the untrusted
cloud, while allowing arbitrary computations. Recent research has shown two side channel …