LayerFault/dataset-clean-balanced-control
dataset-clean-balanced-control 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-DATA-0001 Purpose Dataset clean balanced control. Direct expected Layerfault rules None; this repository is a control/comparison input. Candidate rules These are… See the full description on the dataset page: https://huggingface.co/datasets/LayerFault/dataset-clean-balanced-control.
dataset-clean-balanced-control
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-DATA-0001
Purpose
Dataset clean balanced control.
Direct expected Layerfault rules
- None; this repository is a control/comparison input.
Candidate rules
These are deliberately plausible targets that remain marked as candidates until the exact Layerfault build used for certification confirms them.
- None
Negative-control rules
These should remain silent for this corpus item.
LF-DATASET-RARE-TRIGGER-CORRELATIONLF-DATASET-ZERO-WIDTH
Safety
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.
Challenge classification
- Severity: informational
- Difficulty: basic
- Expected admission decision: PASS
- Control type: negative
- Attack surface: dataset-poisoning
- Techniques: dataset, control
- Transformations: none
Ground-truth oracle IDs
LF-ORACLE-DATA-0001
These 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.