LF Security Corpus: Weight Backdoors & LoRA
Collection
Weight-backdoor, LoRA and declarative-config execution-risk fixtures. Synthetic Layerfault adversarial test fixtures, not usable models. • 9 items • Updated
mlx-custom-code-suite
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-CORPUS-MLX-0001
Purpose
Minimal MLX-like package with custom Python code and deliberately partial profile metadata.
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.
LF-MLX-CUSTOM-CODELF-MLX-PROFILE-INCOMPLETE
Negative-control rules
These should remain silent for this corpus item.
- None
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.
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Model size
160 params
Tensor type
F32
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Hardware compatibility
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