Machine Learning with Membership Privacy using Adversarial Regularization

时间 2020-12-24

标签机器学习算法繁體版

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Machine Learning with Membership Privacy using Adversarial Regularization阅读笔记文献背景及解决问题基础知识具体方案核心算法实验总结下载文献背景及解决问题机器学习模型通过其预测泄漏了大量有关其训练集的信息。对于机器学习即服务用户而言，这是一个严重的隐私问题。为了解决这个问题，在本文中，我们着重于减轻针对机器学

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1. 论文解析：Machine Learning with Membership Privacy using Adversarial Regularization
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7. Certified Robustness to Adversarial Examples with Differential Privacy
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1. 论文解析：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] 正则化(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

>>更多相关文章<<