tiny-weight-backdoor-derived

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-BD-0002

Purpose

Same tiny model code/tokenizer as base, but weights encode a deliberate trigger-to-marker relationship.

Direct expected Layerfault rules

  • LF-CODE-AUTO-MAP

Candidate rules

These are deliberately plausible targets that remain marked as candidates until the exact Layerfault build used for certification confirms them.

  • LF-BACKDOOR-STATIC-DELTA-CONCENTRATION
  • LF-BACKDOOR-STATIC-EMBEDDING-OUTLIER
  • LF-BACKDOOR-TRIGGER-REPRODUCIBLE
  • LF-BACKDOOR-BEHAVIOUR-DIVERGENCE
  • LF-CORR-BACKDOOR-MULTI-SIGNAL

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.

Downloads last month
9
Safetensors
Model size
160 params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including LayerFault/tiny-weight-backdoor-derived