DEM -------------------------------------------------------------- Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting -------------------------------------------------------------- REQUIREMENTS Python 3.5 Tensorflow 1.10.0 Numpy 1.19 cv2 3.4.2 -------------------------------------------------------------- Dataset We use a subset of ImageNet validation set containing 1000 images, which are used in the NIPS 2017 competition. Dataset can be downloaded in https://github.com/tensorflow/cleverhans/tree/master/examples/nips17_adversarial_competition/dataset. -------------------------------------------------------------- Models We use seven models in our submission, many of which are adversarially trained models. The models can be downloaded in http://ml.cs.tsinghua.edu.cn/~yinpeng/nips17/nontargeted/models.zip. --------------------------------------------------------------
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
Overview
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Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
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