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 …
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 …
Privacy-preserving techniques allow private information to be used without compromising privacy. Most encryption algorithms, such as the Advanced Encryption Standard (AES) …
Motivation We introduce PRINCESS, a privacy-preserving international collaboration framework for analyzing rare disease genetic data that are distributed across different …
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 …
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 …
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 …
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 …
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 …