NIPS2017_adv_challenge_defense
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Mitigating Adversarial Effects Through Randomization
This is my first experiment. Can you give me some guidance on how to run your program
Hi,could you give me some advice for saving N transformed samples?
Hi. I am reproducing your experiment,but i got some trouble,so,i want to ask for your help。 In my experiment,i choose Inception V3 as target model ,using FGSM with epsilon=0.04。First,i choose...
Hi, I was trying this defense with a model with two conv layers trained on MNIST. However,it seems useless, which improves the acc under fgsm from 4.2% to 16.04%. Because...
Hi, I have a query regarding adversarial attack. Is there any adversarial attack that sustains/consists of added noise, after resize attack ? (adversarial image -> converting into High / low...