Work

$k^{m}$-Anonymization Meets Differential Privacy Under Sampling

Year: 2024

Type: conference-paper

Source: International Symposium on Information Theory and its Applications

DOI: 10.23919/isita60732.2024.10858274

Authors: Masaya Kobayashi, Atsushi Fujioka, Koji Chida, Akira Nagai, Kan Yasuda

Institutions: Kanagawa University, NTT (Japan)

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4407098000

FWCI: 0.294

Cites: 12

Cited by: 1

Related to: 10