A comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions - CoEvolution Factsheet

This is the factsheet of the CoEvolution Project. About CoEvolution: CoEvolution will create an end-to-end Security, Trust, and Robustness (STR) assessment solution, generating context-aware AI models characterized by their AIModel Bill of Materials (AIMBOM). The goal is a universal hub providing a coherent STR risk assessment and security assurance flow, aligning with MLDevOps and EU AI regulatory frameworks.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-18
DOI
https://doi.org/10.5281/zenodo.17350594
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

A comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions - CoEvolution Factsheet

Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

A comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions - CoEvolution Factsheet

article en

Abstract

This is the factsheet of the CoEvolution Project. About CoEvolution: CoEvolution will create an end-to-end Security, Trust, and Robustness (STR) assessment solution, generating context-aware AI models characterized by their AIModel Bill of Materials (AIMBOM). The goal is a universal hub providing a coherent STR risk assessment and security assurance flow, aligning with MLDevOps and EU AI regulatory frameworks.

Zenodo (CERN European Organization for Nuclear Research)
Partnerships for the goals
Openalex Percentile: Top 24%
Adversarial Robustness in Machine Learning
DOIOpen Access PDFOpenAlex
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A comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions - CoEvolution Factsheet · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS