TensorFlow Privacy ile Makine Öğreniminde Diferansiyel Gizlilik Reviews

Jinwook G. · Reviewed 1 yıldan fazla ago

Adnan S. · Reviewed 1 yıldan fazla ago

Eoin K. · Reviewed 1 yıldan fazla ago

수빈 박. · Reviewed 1 yıldan fazla ago

Kyoungeun L. · Reviewed 1 yıldan fazla ago

지윤 임. · Reviewed 1 yıldan fazla ago

Alexey S. · Reviewed 1 yıldan fazla ago

현주 나. · Reviewed 1 yıldan fazla ago

Hikam M. · Reviewed 1 yıldan fazla ago

KIHYEON J. · Reviewed 1 yıldan fazla ago

GEONWOO S. · Reviewed 1 yıldan fazla ago

motioner D. · Reviewed 1 yıldan fazla ago

정원 문. · Reviewed 1 yıldan fazla ago

하 유. · Reviewed 1 yıldan fazla ago

용성 이. · Reviewed 1 yıldan fazla ago

Charlie K. · Reviewed 1 yıldan fazla ago

혁 이. · Reviewed 1 yıldan fazla ago

Yuchieh Cheng 鄭宇傑 E. · Reviewed 1 yıldan fazla ago

Leslie M. · Reviewed 1 yıldan fazla ago

Sohyun K. · Reviewed 1 yıldan fazla ago

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Emir S. · Reviewed 1 yıldan fazla ago

가현 이. · Reviewed 1 yıldan fazla ago

euiseok l. · Reviewed 1 yıldan fazla ago

영집 김. · Reviewed 1 yıldan fazla 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 1 yıldan fazla ago