This is really good. Can you also to post specifics about how sensitivity is computed and about RDP check? Also about how it checks whether the privacy is satisfied? It would be of great help.
Have you any example to apply to case study in tensorflow privacy technology ? For example, if the someone was done illegal dumping for construction waste how can we monitoring and protecting in privacy.
How and where the DP parameters are calculated. Is it possible to use Tensorflow Privacy for non-machine learning tasks? e.g: If someone wants to get DP_sum of their data.
This is really good. Can you also to post specifics about how sensitivity is computed and about RDP check? Also about how it checks whether the privacy is satisfied? It would be of great help.
Have you any example to apply to case study in tensorflow privacy technology ? For example, if the someone was done illegal dumping for construction waste how can we monitoring and protecting in privacy.
You are a talented speaker. I enjoyed your presentation.
This is a great video, Thanks Yufeng
How and where the DP parameters are calculated. Is it possible to use Tensorflow Privacy for non-machine learning tasks? e.g: If someone wants to get DP_sum of their data.
And also should privacy tools be used to address a different problem, namely bad data as in your example of financial news?
Wouldn’t that make training less efficient? And possibly less reliable?
Awesome
Interesting
Privacy for corporations not users who get a free for all.