Image Classification
Keras
model-security
model-file-vulnerability
backdoor
scanner-bypass
proof-of-concept
Instructions to use athifatharmn/keras-duplicate-weights-backdoor-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use athifatharmn/keras-duplicate-weights-backdoor-poc with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://athifatharmn/keras-duplicate-weights-backdoor-poc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d972e470d665d7794f4e0de5775d553e68d3be3aa8f29aa195a7b4243fc92f68
- Size of remote file:
- 41.1 kB
- SHA256:
- ab4ba13d932428576f4964c5e816e28e5d763740bfa9637b290f8237a828b2e2
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