Work

Dynamic Noise Injection with On-Demand Bootstrapping (DNIB): A Robust Framework for Privacy-Preserving Data Analysis

Year: 2025

Type: conference-paper

Source: International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)

DOI: 10.1109/idciot64235.2025.10914911

Authors: P. Thavamani, K. Bavani, N. Mohamed Rashed, S Ranjani, E. Navin Karthick, R. Surendar

Institution: Kalasalingam Academy of Research and Education

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4408400155

FWCI: 0.988

Cites: 27

Cited by: 1

Related to: 10