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fsabiu
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keras-modelscan-torchmodulewrapper-coverage-gap

Keras
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How to use from the
Use from the
Keras library
# Available backend options are: "jax", "torch", "tensorflow".
import os
os.environ["KERAS_BACKEND"] = "jax"

import keras

model = keras.saving.load_model("hf://fsabiu/keras-modelscan-torchmodulewrapper-coverage-gap")

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Check out the documentation for more information.

Keras ModelScan Coverage Validation Artifacts

This repository contains benign Keras V3 .keras files for validating scanner behavior.

Files

  • benign_torch_module.keras: benign Keras model containing TorchModuleWrapper.
  • benign_lambda.keras: benign Keras model containing a Lambda layer as a positive scanner control.
  • modelscan-benign_torch_module.json: ModelScan 0.8.8 JSON output for benign_torch_module.keras.
  • modelscan-benign_lambda.json: ModelScan 0.8.8 JSON output for benign_lambda.keras.
  • detector-summary.md: local static detector comparison summary.

Reproduce 

python3 -m venv .venv
.venv/bin/python -m pip install 'keras==3.14.0' torch h5py
.venv/bin/python -m pip install 'modelscan==0.8.8' 'modelscan[tensorflow]==0.8.8'

.venv/bin/modelscan scan -p benign_lambda.keras -r json
.venv/bin/modelscan scan -p benign_torch_module.keras -r json

Expected result:

  • benign_lambda.keras: ModelScan reports one Medium Lambda issue.
  • benign_torch_module.keras: ModelScan reports zero issues.

The files are benign and are provided only for scanner validation.

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