347c815a1cfebd378d8723fe9ca02ff4361b4509,tests/attacks/test_knockoff_nets.py,TestKnockoffNets,test_keras_classifier,#TestKnockoffNets#,133

Before Change

        victim_krc = get_classifier_kr()

        // Create simple CNN
        model = Sequential()
        model.add(Conv2D(1, kernel_size=(7, 7), activation="relu", input_shape=(28, 28, 1)))
        model.add(MaxPooling2D(pool_size=(4, 4)))
        model.add(Flatten())
        model.add(Dense(10, activation="softmax"))
        loss = keras.losses.categorical_crossentropy
        model.compile(loss=loss, optimizer=keras.optimizers.Adam(lr=0.001), metrics=["accuracy"])

        // Get classifier
        thieved_krc = KerasClassifier(model, clip_values=(0, 1), use_logits=False)

        // Create random attack
        attack = KnockoffNets(classifier=victim_krc, batch_size_fit=BATCH_SIZE, batch_size_query=BATCH_SIZE,
                              nb_epochs=NB_EPOCHS, nb_stolen=NB_STOLEN, sampling_strategy="random")

After Change

        victim_krc = get_classifier_kr()

        // Create the thieved classifier
        thieved_krc = get_classifier_kr(load_init=False)

        // Create random attack
        attack = KnockoffNets(classifier=victim_krc, batch_size_fit=BATCH_SIZE, batch_size_query=BATCH_SIZE,
                              nb_epochs=NB_EPOCHS, nb_stolen=NB_STOLEN, sampling_strategy="random")

Instances