FHERMA Cookbook: FHE Components for Privacy-Preserving Applications
Year: 2025
Type: conference-paper
Abstract: Fully Homomorphic Encryption (FHE) enables computation over encrypted data and is considered a fundamental tool for privacy-preserving systems. Despite significant theoretical progress, its practical adoption remains limited. One contributing factor is the absence of reusable, application-level components suitable for integration into real-world systems.
Authors: Janis Adamek, Aikata Aikata, Ahmad Al Badawi, Andreea Alexandru, Armen Arakelov, Gurgen Arakelov, Philipp Binfet, Victor Correa, Jules Dumezy, Sergey Gomenyuk, Valentina Kononova, Dmitrii Lekomtsev, Vivian Maloney, Chi-Hieu Nguyen, Yuriy Polyakov, Daria Pianykh, Hayim Shaul, Moritz Schulze Darup, Dieter Teichrib, Dmitry Tronin
Institutions: TU Dortmund University, Graz University of Technology, Duality (United States), Fair Math (United States), Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, CEA Paris-Saclay - Etablissement de Saclay, Laboratoire d'Intégration des Systèmes et des Technologies, Johns Hopkins University Applied Physics Laboratory, University of Technology Sydney, IBM Research - Haifa
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W7084076754