IP/Patent Pattern Layer

Restricted-access technical specification (ruahAI, proprietary).This deposit contains a consolidated, single-file Edge-AI configuration blueprint with strict fail-closed safety, privacy-by-design, drift/rollback governance, and reproducible versioning.It additionally includes an IP/Patent Pattern Layer that flags candidate innovation patterns as hypotheses (no legal conclusions), producing redacted, auditable handover bundles for internal IP review and evidence-gap closure.Civil-use baseline; no person profiling/biometrics/targeting; no operational security guidance.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-15
DOI
https://doi.org/10.5281/zenodo.18651603
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

IP/Patent Pattern Layer

W. H. Brueckner
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

IP/Patent Pattern Layer

W. H. Brueckner
article en

Abstract

Restricted-access technical specification (ruahAI, proprietary).This deposit contains a consolidated, single-file Edge-AI configuration blueprint with strict fail-closed safety, privacy-by-design, drift/rollback governance, and reproducible versioning.It additionally includes an IP/Patent Pattern Layer that flags candidate innovation patterns as hypotheses (no legal conclusions), producing redacted, auditable handover bundles for internal IP review and evidence-gap closure.Civil-use baseline; no person profiling/biometrics/targeting; no operational security guidance.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Adversarial Robustness in Machine Learning
DOIOpen Access PDFOpenAlex
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IP/Patent Pattern Layer — W. H. Brueckner · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS