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Possible spell-corrected query: fermat
FHERMA Cookbook: FHE Components for Privacy-Preserving Applications
Janis Adamek, Aikata Aikata, Ahmad Al Badawi, Andreea Alexandru, Armen 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, Gurgen Arakelov
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.
This work introduces a library of FHE components developed through a competition-
based framework. The components are outcomes of a...
FHERMA: Building the Open-Source FHE Components Library for Practical Use
Gurgen Arakelov, Nikita Kaskov, Daria Pianykh, Yuriy Polyakov
Applications
Fully Homomorphic Encryption (FHE) is a powerful Privacy-Enhancing Technology (PET) that enables computations on encrypted data without having access to the secret key. While FHE holds immense potential for enhancing data privacy and security, creating its practical applications is associated with many difficulties. A significant barrier is the absence of easy-to-use, standardized components that developers can utilize as foundational building blocks. Addressing this gap requires...
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. This work introduces a library of FHE components developed through a competition- based framework. The components are outcomes of a...
Fully Homomorphic Encryption (FHE) is a powerful Privacy-Enhancing Technology (PET) that enables computations on encrypted data without having access to the secret key. While FHE holds immense potential for enhancing data privacy and security, creating its practical applications is associated with many difficulties. A significant barrier is the absence of easy-to-use, standardized components that developers can utilize as foundational building blocks. Addressing this gap requires...