Work

Lifting Approach against the SNOVA Scheme

Year: 2025

Type: article

Source: IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences

DOI: 10.1587/transfun.2024eap1124

Authors: Shuhei NAKAMURA, Yusuke TANI, Hiroki FURUE

Institutions: Ibaraki University, NTT (Japan)

Language: English

Topic: Cryptography and Data Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4409057714

FWCI: 1.281

Cites: 10

Cited by: 3

Related to: 10