Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks” , published at AAAI 2019
I can't find any saver.restore(sess, weight_path) code in main.py or blackbox_attack.py for loading classifier weights. Actually, this code attack the untrained classification model, which outputs almost random probabilities prediction?
I can't find any
saver.restore(sess, weight_path)
code in main.py or blackbox_attack.py for loading classifier weights. Actually, this code attack the untrained classification model, which outputs almost random probabilities prediction?