Invited Paper: Efficient Design of FHEW/TFHE Bootstrapping Implementation with Scalable Parameters
Fully Homomorphic Encryption (FHE) is vital for computing over encrypted data, thereby enabling numerous privacy-preserving applications. This work focuses on the third generation FHE schemes (e.g., FHEW and TFHE), known for their fast bootstrapping, small FHE parameters, and robust security built on milder assumptions.
Authors
- Ming‐Ching Chang (ORCID: https://orcid.org/0000-0001-9325-5341)
- Shih‐Hao Hung (ORCID: https://orcid.org/0000-0003-2043-2663)
- Yu-Te Ku
- Chih-Fan Hsu (ORCID: https://orcid.org/0000-0002-4180-8255)
- Feng-Hao Liu (ORCID: https://orcid.org/0000-0003-4298-3925)
- Wei-Chao Chen (ORCID: https://orcid.org/0000-0002-6165-7706)
- M.C. Ho
- Yu Xiao (ORCID: https://orcid.org/0009-0003-1053-8138)
Institutions
- Albany State University (US)
- National Taiwan University (TW)
- University at Albany, State University of New York (US)
- Mohamed bin Zayed University of Artificial Intelligence (AE)
- Inventec (Taiwan) (TW)
- Washington State University (US)
- Academia Sinica (TW)
Publication Details
- Published
- 2024-10-27
- DOI
- https://doi.org/10.1145/3676536.3698873
- Citations
- 1
- Primary Topic
- Cryptography and Data Security
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- National Science Foundation
- National Science and Technology Council