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Code for Machine Learning Models that Remember Too Much (in CCS 2017)
the paper said that the synthetic text can be generated in the following way
GenData can enumerate all singleton tokens in lexicographic order, then all pairs of tokens in lexicographic order, and so on until the list is as long as the number of synthetic documents needed
For a given vocabulary like this "1 : the, 2 : and, 3 : a, 4 : of, 5 : to, 6 : is, 7 : this, 8 : in, 9 : it, 10 : i......", is that means a synthetic document can be "the and a of to is this in it i"?
And if I need 10 synthetic documents. What are the differences between the 10 documents? Could you show me an example of different synthetic documents, or the code for synthesizing text.
Thank you~
Hi, May I have a question that what's the special meaning of line 177~123 in https://github.com/csong27/ml-model-remember/blob/9893a48478b878fadd994f7c2cdfa5377e93fccf/attack.py
thank you :)
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