Shixuan Zhao, Zhongshu Gu, et al.
CCS 2025
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 series of formalized challenges, each targeting a specific challenge---such as comparison, sorting, or matrix operations---under concrete cryptographic and performance constraints. This initial release includes contributions from independent researchers and reflects a variety of approaches across different FHE schemes. The library is intended to expand over time as new challenges are introduced and solved, forming a foundation for building and evaluating privacy-preserving applications.
Shixuan Zhao, Zhongshu Gu, et al.
CCS 2025
Matías Mazzanti, Esteban Mocskos, et al.
ISCA 2025
Pankaj Dayama, Vinayaka Pandit, et al.
CCS 2024
Andrea Basso, Luciano Maino
Eurocrypt 2025