Comments (2)
I used code from tf-privacy and the paper
A General Approach to Adding Differential Privacy to Iterative Training Procedures.
from pytorch-privacy.
I found a paper "Differentially Private Model Publishing for Deep Learning" related to this issue, pointing out that through shuffling and partition may cause underestimation of privacy loss. Thank you for your reply.
from pytorch-privacy.
Related Issues (2)
- A typo in README HOT 1
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from pytorch-privacy.