Privacidade diferencial em machine learning com a TensorFlow Privacy avaliações

Eduardo M. · Revisado há over 1 year

easy

Antonio S. · Revisado há over 1 year

Bruna A. · Revisado há over 1 year

DJ N. · Revisado há over 1 year

Nicholas W. · Revisado há over 1 year

Ronaldo M. · Revisado há over 1 year

Leung S. · Revisado há over 1 year

Fernando M. · Revisado há over 1 year

Daniel Sidnei M. · Revisado há over 1 year

Piotr B. · Revisado há over 1 year

Samruddhi K. · Revisado há over 1 year

Sneha M. · Revisado há over 1 year

Poojitha Reddy S. · Revisado há over 1 year

N Harsha Vardhan R. · Revisado há over 1 year

Tarun K. · Revisado há over 1 year

Regina B. · Revisado há over 1 year

mauro p. · Revisado há over 1 year

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. · Revisado há over 1 year

Janani D. · Revisado há over 1 year

Joanna S. · Revisado há over 1 year

AMIT G. · Revisado há over 1 year

Abhishek Kothekar 2. · Revisado há over 1 year

Gleison M. · Revisado há over 1 year

Riyaz A. · Revisado há over 1 year

Hojung J. · Revisado há over 1 year