MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

時間 2021-01-08

標籤論文分享 # 【paper】Sec4AI 简体版

原文原文鏈接

[CCS’19] MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Keywords: Membership Inference Attack, Adversarial Example Takeaways: This paper proposed a fancy i

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1. 論文學習筆記 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. Detecting and Defending against PowerShell Shells
5. 關於EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples的理解
6. Paper Review: Adversarial Examples
7. 論文翻譯-Defending Against Universal Attacks Through Selective Feature Regeneration
8. Practical Black-Box Attacks against Machine Learning
9. （轉）Is attacking machine learning easier than defending it?
10. [advGAN]Generating Adversarial Examples With Adversarial Networks
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1. 論文學習筆記 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. Detecting and Defending against PowerShell Shells
5. 關於EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples的理解
6. Paper Review: Adversarial Examples
7. 論文翻譯-Defending Against Universal Attacks Through Selective Feature Regeneration
8. Practical Black-Box Attacks against Machine Learning
9. （轉）Is attacking machine learning easier than defending it?
10. [advGAN]Generating Adversarial Examples With Adversarial Networks

>>更多相關文章<<