Differential Privacy in Machine Learning with TensorFlow Privacy Reviews

Fernando M. · Reviewed over 1 year ago

Daniel Sidnei M. · Reviewed over 1 year ago

Piotr B. · Reviewed over 1 year ago

Samruddhi K. · Reviewed over 1 year ago

Sneha M. · Reviewed over 1 year ago

Poojitha Reddy S. · Reviewed over 1 year ago

N Harsha Vardhan R. · Reviewed over 1 year ago

Tarun K. · Reviewed over 1 year ago

Regina B. · Reviewed over 1 year ago

mauro p. · Reviewed over 1 year 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 over 1 year ago

Janani D. · Reviewed over 1 year ago

Joanna S. · Reviewed over 1 year ago

AMIT G. · Reviewed over 1 year ago

Abhishek Kothekar 2. · Reviewed over 1 year ago

Gleison M. · Reviewed over 1 year ago

Riyaz A. · Reviewed over 1 year ago

Hojung J. · Reviewed over 1 year ago

Sobhan N. · Reviewed over 1 year ago

Clovis B. · Reviewed over 1 year ago

Adil Mubashir C. · Reviewed over 1 year ago

Fadli A. · Reviewed over 1 year ago

Vedant G. · Reviewed over 1 year ago

Modhi M. · Reviewed over 1 year ago

Muhammad H. · Reviewed over 1 year ago