Differential Privacy in Machine Learning with TensorFlow Privacy Reviews

Eduardo M. · Reviewed 8 months ago

easy

Antonio S. · Reviewed 8 months ago

Bruna A. · Reviewed 8 months ago

DJ N. · Reviewed 8 months ago

Nicholas W. · Reviewed 8 months ago

Ronaldo M. · Reviewed 8 months ago

Leung S. · Reviewed 8 months ago

Fernando M. · Reviewed 8 months ago

Daniel Sidnei M. · Reviewed 8 months ago

Piotr B. · Reviewed 8 months ago

Samruddhi K. · Reviewed 8 months ago

Sneha M. · Reviewed 8 months ago

Poojitha Reddy S. · Reviewed 8 months ago

N Harsha Vardhan R. · Reviewed 8 months ago

Tarun K. · Reviewed 8 months ago

Regina B. · Reviewed 8 months ago

mauro p. · Reviewed 8 months ago

I don't feel the lab demonstrated the concept of Differential Privacy well enough. Specifically, it seems that the core of the lab is the function "compute_dp_sgd_privacy.compute_dp_sgd_privacy_statement", in that case the lab should have focused on it and on different reports it provides. Trianing the model wasn't really necessary at all in order to call that function.

Yuval W. · Reviewed 8 months ago

Janani D. · Reviewed 8 months ago

Joanna S. · Reviewed 8 months ago

AMIT G. · Reviewed 8 months ago

Abhishek Kothekar 2. · Reviewed 8 months ago

Gleison M. · Reviewed 8 months ago

Riyaz A. · Reviewed 8 months ago

Hojung J. · Reviewed 8 months ago