Compliance challenges in AI training data usage: a novel mechanism for fusion generative adversarial networks

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Authors

Publication Details

Journal
International Journal of Information and Communication Technology
Published
2026-01-01
DOI
https://doi.org/10.1504/ijict.2026.10077256
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Compliance challenges in AI training data usage: a novel mechanism for fusion generative adversarial networks

Muling Yuan
International Journal of Information and Communication Technology
Adversarial Robustness in Machine Learning
article

Compliance challenges in AI training data usage: a novel mechanism for fusion generative adversarial networks

Muling Yuan
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Communication TechnologyVol. 27(31)
Life in Land
Openalex Percentile: Top 9%
Adversarial Robustness in Machine Learning
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Compliance challenges in AI training data usage: a novel mechanism for fusion generative adversarial networks — Muling Yuan · International Journal of Information and Communication Technology (2026) | TGRS Research Map | TGRS