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LayerFault/weights-single-embedding-outlier
weights-single-embedding-outlier is a machine learning model from LayerFault. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
SECURITY TEST ARTIFACT: DO NOT USE AS A PRODUCTION MODEL
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Updated Aug 21, 2026
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From the Hugging Face model README
SECURITY TEST ARTIFACT: DO NOT USE AS A PRODUCTION MODEL
This repository is part of the Layerfault synthetic security corpus. It is deliberately constructed to contain security-relevant characteristics for scanner testing.
Corpus ID: LF-CH-WGHT-0002
Weights single embedding outlier.
These are deliberately plausible targets that remain marked as candidates until the exact Layerfault build used for certification confirms them.
LF-BACKDOOR-STATIC-EMBEDDING-OUTLIERThese should remain silent for this corpus item.
The corpus uses fake secrets, loopback/.invalid network destinations, harmless marker output,
and synthetic model behavior only. It is intended for static scanning and isolated security testing.
LF-ORACLE-WGHT-0002These oracle IDs describe synthetic ground truth. They do not claim that a matching Layerfault detector already exists. A challenge may intentionally expose a scanner blind spot and remain unmapped until the detector is implemented.