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論文學習筆記 MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
時間 2021-01-02
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論文學習筆記 MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples 背景 • 文章: Membership Inference Attacks Against Machine Learning Models. IEEE Symposium on Security and
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相關文章
1.
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
2.
論文筆記:Membership Inference Attacks Against Machine Learning Models
3.
論文解析:Membership Inference Attacks Against Machine Learning Models(一看即懂)
4.
論文筆記:ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learn
5.
論文翻譯-Defending Against Universal Attacks Through Selective Feature Regeneration
6.
論文閱讀筆記:GENERATING NATURAL ADVERSARIAL EXAMPLES
7.
《EXPLAINING AND HARNESSING ADVERSARIAL EXAMPLES》論文筆記
8.
【論文筆記】Generating Natural Adversarial Examples
9.
關於EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples的理解
10.
Detecting and Defending against PowerShell Shells
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