Work

Data for: Predicting privacy leakage from weight spectral density

Year: 2026

Type: dataset

Abstract: Results and code to reproduce figures and statistics from the paper entitled: "Predicting privacy leakage from weight spectral density".

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22817107

Authors: Preen, Richard, Jim, Smith

Institution: University of the West of England

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: UK Research and Innovation

Award: G5235844062

OpenAlex ID: W7213522285

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