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論文解析:Membership Inference Attacks Against Machine Learning Models(一看即懂)
時間 2021-03-07
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論文解析:Membership Inference Attacks Against Machine Learning Models(一看即懂,超詳細版本) 摘要:這篇文章致力於探索機器學習模型如何泄露訓練集中的信息,專注於基本的成員推理攻擊,即給出一個機器學習模型和一條記錄,判斷該樣本是否被用作訓練集中的一部分。 我們對「機器學習即服務(machine learning as a service)
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相關文章
1.
論文筆記:Membership Inference Attacks Against Machine Learning Models
2.
論文學習筆記 MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
3.
Practical Black-Box Attacks against Machine Learning
4.
論文筆記:ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learn
5.
論文解析:Machine Learning with Membership Privacy using Adversarial Regularization
6.
[paper]Practical Black-Box Attacks against Machine Learning
7.
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
8.
Practical Black-Box Attacks against Machine Learning 閱讀筆記
9.
Classification and inference with machine learning
10.
PGD:Towards Deep Learning Models Resistant to Adversarial Attacks
>>更多相關文章<<