关于“使用 TensorFlow Privacy 在机器学习中应用差分隐私”的评价

하 유. · 已于 9 months前审核

용성 이. · 已于 9 months前审核

Charlie K. · 已于 9 months前审核

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Yuchieh Cheng 鄭宇傑 E. · 已于 9 months前审核

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Sohyun K. · 已于 9 months前审核

123

Emir S. · 已于 9 months前审核

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euiseok l. · 已于 9 months前审核

영집 김. · 已于 9 months前审核

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. · 已于 9 months前审核

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선경 윤. · 已于 9 months前审核

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제형 전. · 已于 9 months前审核

강민영 강. · 已于 9 months前审核

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Mayur G. · 已于 9 months前审核

easy

Kyeongseok K. · 已于 9 months前审核