Differential Privacy in Machine Learning with TensorFlow Privacy Reviews

123

Emir S. · Reviewed 9 months ago

가현 이. · Reviewed 9 months ago

euiseok l. · Reviewed 9 months ago

영집 김. · Reviewed 9 months ago

Introduction to the topic of Privacy Budget was useful. However, the lab would have been more effective if the lab adopted the following approach: 1) Train the model using Privacy Budget n 2) Test the results 3) Retrain the model using Privacy Budget n+delta 4) Test the results 5) Observe the difference in model behaviour between the model using Privacy Budget n vs the model behaviour using Privacy Budget n+delta This would allow the lab user to observe that a lower privacy budget bounds more tightly an adversary's ability to improve their guess.

Paul C. · Reviewed 9 months ago

JONGIL P. · Reviewed 9 months ago

선경 윤. · Reviewed 9 months ago

Noe G. · Reviewed 9 months ago

제형 전. · Reviewed 9 months ago

강민영 강. · Reviewed 9 months ago

YoonSeok N. · Reviewed 9 months ago

Abhishek K. · Reviewed 9 months ago

Jaewon C. · Reviewed 9 months ago

stophobia G. · Reviewed 9 months ago

인철 G. · Reviewed 9 months ago

Amirlan S. · Reviewed 9 months ago

Mayur G. · Reviewed 9 months ago

easy

Kyeongseok K. · Reviewed 9 months ago

Bahanan G. · Reviewed 9 months ago

Rofiq Y. · Reviewed 9 months ago

BYUNG HOON Y. · Reviewed 9 months ago

Jeongin K. · Reviewed 9 months ago

Akshat Uke G. · Reviewed 9 months ago

Eric L. · Reviewed 9 months ago

Ibuki S. · Reviewed 9 months ago