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
How to use LayerFault/keras-invalid-archive with Keras:
# !pip install -U keras tensorflow huggingface_hub
# Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
# "jax" and "torch" also work for computation once TensorFlow is installed.
import os
os.environ["KERAS_BACKEND"] = "tensorflow"
import keras
model = keras.saving.load_model("hf://LayerFault/keras-invalid-archive")
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-0003
Invalid .keras ZIP container.
LF-KERAS-ARCHIVEThese are deliberately plausible targets that remain marked as candidates until the exact Layerfault build used for certification confirms them.
These 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.