Machine Learning with Membership Privacy using Adversarial Regularization
Machine Learning with Membership Privacy using Adversarial Regularization閱讀筆記 文獻背景及解決問題 基礎知識 具體方案 核心算法 實驗 總結 下載 文獻背景及解決問題 機器學習模型通過其預測泄漏了大量有關其訓練集的信息。對於機器學習即服務用戶而言，這是一個嚴重的隱私問題。爲了解決這個問題，在本文中，我們着重於減輕針對機器學
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相關文章
- 1. 論文解析：Machine Learning with Membership Privacy using Adversarial Regularization
- 2. Learning with Privacy at Scale
- 3. Regularization method for machine learning
- 4. An Introduction to Machine Learning with Python
- 5. [Machine Learning] 正則化(Regularization)
- 6. Machine Learning Andrew Ng -7. Regularization
- 7. Certified Robustness to Adversarial Examples with Differential Privacy
- 8. [paper]ADVERSARIAL MACHINE LEARNING AT SCALE
- 9. Machine and Deep Learning with Python
- 10. Coursera Machine Learning Week 6 - Advice for Applying Machine Learning