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I am trying the craft adversarial examples for the tfc_2w_2a model. What is odd is that the adversarial examples that fool the original Brevitas PyTorch model do not fool the HW implementation of the model. Anyone can give me a clue why that's happening? Shouldn't the HW implementation of the model have a behavior similar to the original Brevitas model for the same input?
Also, does anyone know if there is a way to simulate model inference for the onnx model that is generated in the end-to-end example, prior to deployment?
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Hi all,
I am trying the craft adversarial examples for the tfc_2w_2a model. What is odd is that the adversarial examples that fool the original Brevitas PyTorch model do not fool the HW implementation of the model. Anyone can give me a clue why that's happening? Shouldn't the HW implementation of the model have a behavior similar to the original Brevitas model for the same input?
Also, does anyone know if there is a way to simulate model inference for the onnx model that is generated in the end-to-end example, prior to deployment?
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