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attack_specific_params= is not set to anything
  • jcpeterson
  • 3
  • Opened 
    on Nov 16, 2018
  • #19

They print out, but there s nothing returned by training_obj.train()
  • jcpeterson
  • 8
  • Opened 
    on Nov 16, 2018
  • #18

This paper (https://arxiv.org/pdf/1807.10272.pdf) has some nice visualization techniques. Being able to quickly generate plots in their figures would be nice.
  • revbucket
  • Opened 
    on Nov 15, 2018
  • #16

You can currently see the accuracy before the attack, but not the loss before the attack. Advice?
  • jcpeterson
  • 4
  • Opened 
    on Nov 15, 2018
  • #15

I have a setup_cifar.py file. Building some pretrained models and setup scripts for MNIST is probably useful for people wanting to get mister_ed running out of the box
  • revbucket
  • 4
  • Opened 
    on Nov 12, 2018
  • #14

This would be useful for create virtual environments quickly. I use miniconda and base environments don t come with config etc installed
  • jcpeterson
  • 9
  • Opened 
    on Nov 12, 2018
  • #13

except OSError, err: doesn t work in python3
  • jcpeterson
  • 5
  • Opened 
    on Nov 12, 2018
  • #12

It s the saved output. The tail of the error is: NameError: name attack_examples is not defined
  • jcpeterson
  • 3
  • Opened 
    on Nov 12, 2018
  • #11

The main_sandbox.py is outdated as it doesn t take threat_model as parameters. I can submit a commit to fix the file if needed
  • tianweiy
  • 3
  • Opened 
    on Nov 9, 2018
  • #8
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