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I'm trying to do Saliency Map Method using cleverhans.

My model needs to be keras sequential so for that reason I've searched and found cleverhans.utils_keras, Sequential uses KerasModelWrapper. But for some reason I still get it should be cleverhans model. Here's the stacktrace

TypeError Traceback (most recent call last) in 2 # https://github.com/tensorflow/cleverhans/blob/master/cleverhans/utils_keras.py 3 ----> 4 jsma = SaliencyMapMethod(model, sess=sess) 5 jsma_params = {'theta': 10.0, 'gamma': 0.15, 6 'clip_min': 0., 'clip_max': 1.,

c:\users\jeredriq\appdata\local\programs\python\python35\lib\site-packages\cleverhans\attacks__init__.py in init(self, model, sess, dtypestr, **kwargs) 911 """ 912 --> 913 super(SaliencyMapMethod, self).init(model, sess, dtypestr, **kwargs) 914 915 self.feedable_kwargs = ('y_target',)

c:\users\jeredriq\appdata\local\programs\python\python35\lib\site-packages\cleverhans\attacks__init__.py in init(self, model, sess, dtypestr, **kwargs) 55 56 if not isinstance(model, Model): ---> 57 raise TypeError("The model argument should be an instance of" 58 " the cleverhans.model.Model class.") 59

TypeError: The model argument should be an instance of the cleverhans.model.Model class.

And here's my code