Feb. 12, 2024, 2:06 a.m. |

IACR News www.iacr.org

ePrint Report: Application-Aware Approximate Homomorphic Encryption: Configuring FHE for Practical Use

Andreea Alexandru, Ahmad Al Badawi, Daniele Micciancio, Yuriy Polyakov


Fully Homomorphic Encryption (FHE) is a powerful tool for performing privacy-preserving analytics over encrypted data. A promising method for FHE over real and complex numbers is approximate homomorphic encryption, instantiated with the Cheon-Kim-Kim-Song (CKKS) scheme. The CKKS scheme enables efficient evaluation for many privacy-preserving machine learning applications. Despite its high efficiency, there is currently a lot of confusion on how …

analytics application aware data encrypted encrypted data encryption eprint report fhe fully homomorphic encryption homomorphic encryption numbers performing privacy real report tool

Deputy Chief Information Security Officer

@ United States Holocaust Memorial Museum | Washington, DC

Humbly Confident Security Lead

@ YNAB | Remote

Information Technology Specialist II: Information Security Engineer

@ WBCP, Inc. | Pasadena, CA.

Director of the Air Force Cyber Technical Center of Excellence (CyTCoE)

@ Air Force Institute of Technology | Dayton, OH, USA

Senior Cyber Security Analyst

@ Valley Water | San Jose, CA

IT-Security Analyst "Managed Cloud" Fokus MS-Sentinel (m/w/d)*

@ GISA GmbH | Halle, DE