Differentially-private intermediate tensors example #62
Labels
Priority: 4 - Low 😎
Should only be scheduled if it's important relative to other issues
Type: New Feature ➕
Introduction of a completely new addition to the codebase
Milestone
Feature Description
Develop an example which applies differential privacy to the tensors output from a local user's model before being sent to the computational sever.
Is your feature request related to a problem?
Non-DP tensors could allow a colluding computational server and data holder (in the case of multiple data holders) to identify a user's data using a model inversion attack
What alternatives have you considered?
None
Additional Context
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