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kfoughali
/
mfv-security-research

Keras
Joblib
Safetensors
GGUF
conversational
Model card Files Files and versions
xet
Community

Instructions to use kfoughali/mfv-security-research with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use kfoughali/mfv-security-research 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://kfoughali/mfv-security-research")
    
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    8.27 kB
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  • backdoored_model.pkl
    163 Bytes
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  • dos_model.safetensors
    182 Bytes
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  • header_injection.safetensors
    295 Bytes
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  • malicious_keras_model.keras
    1.22 kB
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  • malicious_model.gguf
    481 Bytes
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  • malicious_model.h5
    259 Bytes
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  • malicious_sklearn_model.joblib
    127 Bytes
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  • poc_pickle_model.pkl
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  • poc_pytorch_model.pt
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  • pytorch_zipslip.pt
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  • scanner_bypass_model.pt
    108 Bytes
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  • stealth_backdoor.pkl
    31.7 kB
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  • tarslip_model.tar.gz
    290 Bytes
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  • type_confusion.safetensors
    488 Bytes
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  • zipslip_model.zip
    965 Bytes
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