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How does DP-SGD handle the composition problem between layers?

The paper 'Deep Learning with Differential Privacy' proposed DP-SGD and moments accoutant. The authors consider the NN layers separately, which allows they set different $C$ and $\sigma$ for different ...
Green's user avatar
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1 vote
2 answers
650 views

Why is DP-SGD differentially private?

The paper 'Deep Learning with Differential Privacy' explains how to make a deep learning algorithm as differentially private. This explanation is implemented in Tensorflow Privacy My question is: we ...
A-G-'s user avatar
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3 votes
0 answers
170 views

Adding Laplace noise to a learned neural network

My question is related to the concept of differential privacy and deep learning. I found many papers to learn neural networks with differential privacy, but is it also possible to achieve differential ...
Max Moser's user avatar
2 votes
0 answers
82 views

Can we get the input from a multilayer perceptron based on the output of one of its hidden layers?

I was reading a relatively new paper that proposed to split a nerual networks layers into groups and sending each group to different nodes to train them in a distributed manner. In order to not send ...
sgaseretto's user avatar