Differential Privacy in Machine Learning with TensorFlow Privacy Reviews

Eduardo M. · Reviewed больше 1 года ago

easy

Antonio S. · Reviewed больше 1 года ago

Bruna A. · Reviewed больше 1 года ago

DJ N. · Reviewed больше 1 года ago

Nicholas W. · Reviewed больше 1 года ago

Ronaldo M. · Reviewed больше 1 года ago

Leung S. · Reviewed больше 1 года ago

Fernando M. · Reviewed больше 1 года ago

Daniel Sidnei M. · Reviewed больше 1 года ago

Piotr B. · Reviewed больше 1 года ago

Samruddhi K. · Reviewed больше 1 года ago

Sneha M. · Reviewed больше 1 года ago

Poojitha Reddy S. · Reviewed больше 1 года ago

N Harsha Vardhan R. · Reviewed больше 1 года ago

Tarun K. · Reviewed больше 1 года ago

Regina B. · Reviewed больше 1 года ago

mauro p. · Reviewed больше 1 года 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 больше 1 года ago

Janani D. · Reviewed больше 1 года ago

Joanna S. · Reviewed больше 1 года ago

AMIT G. · Reviewed больше 1 года ago

Abhishek Kothekar 2. · Reviewed больше 1 года ago

Gleison M. · Reviewed больше 1 года ago

Riyaz A. · Reviewed больше 1 года ago

Hojung J. · Reviewed больше 1 года ago