membership-inference
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How to optimize the parameter
Hello, Song.
I try your code via UCI adult's salary data set and cifar10. I get a result similar with yours for adult's salary data set, however for cifar10, i get the a very low accuracy. I guess maybe some parameter is need optimized, such as batch_size or epochs.
So, I wonder if you willing to publish your parameters ? And another question is that for images, I should replace the Target's and Shadow's models from NN to CNN or other?
Thank you, I really appreciate your work.
Hi, On cifar10 you will need a bigger neural nets than the one in the demo code. CNN is a good idea :)
Thank you, happy voteday.
I found under fitting will take place with default parameter in most dataset. I dont know whether properly or not? Thank you.
You will have to fit each dataset with its own best hyper-parameters.
Thank you, have a good weekend.