Consistency-Coverage-Stability Trilemma in Intrinsic Defense

Analyzes and experimentally verifies the trilemma among consistency, coverage, and stability in intrinsic (self-) defense of neural systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23009825
Primary Topic
Adversarial Robustness in Machine Learning
Type
preprint
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preprint

Consistency-Coverage-Stability Trilemma in Intrinsic Defense

Jinhu Zhang
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
preprint

Consistency-Coverage-Stability Trilemma in Intrinsic Defense

Jinhu Zhang
preprint en

Abstract

Analyzes and experimentally verifies the trilemma among consistency, coverage, and stability in intrinsic (self-) defense of neural systems.

Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
DOIOpen Access PDFOpenAlex
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Consistency-Coverage-Stability Trilemma in Intrinsic Defense — Jinhu Zhang · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS