LF Security Corpus: ONNX, OpenVINO, TensorRT & CoreML
Collection
ONNX, OpenVINO, TensorRT, CoreML and Keras format fixtures. Synthetic Layerfault adversarial test fixtures, not usable models. • 16 items • Updated
keras-custom-object
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-KERAS-0001
Purpose
Minimal Keras ZIP containing a custom/Lambda-like object reference.
Direct expected Layerfault rules
LF-KERAS-CUSTOM-OBJECT
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.
- 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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# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://LayerFault/keras-custom-object")