JavaShuo
欄目
標籤
論文筆記:Membership Inference Attacks Against Machine Learning Models
時間 2021-01-02
原文
原文鏈接
Membership Inference Attacks Against Machine Learning Models 簡介:這篇文章關注機器學習模型的隱私泄露問題,提出了一種成員推理攻擊:給出一條樣本,可以推斷該樣本是否在模型的訓練數據集中——即便對模型的參數、結構知之甚少,該攻擊仍然有效。其核心在於其提出的shadow learning技術。 問題設定 考慮多分類問題,模型的輸出是一個預測向
>>阅读原文<<
相關文章
1.
論文解析:Membership Inference Attacks Against Machine Learning Models(一看即懂)
2.
論文學習筆記 MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
3.
論文筆記:ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learn
4.
Practical Black-Box Attacks against Machine Learning
5.
[paper]Practical Black-Box Attacks against Machine Learning
6.
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
7.
Practical Black-Box Attacks against Machine Learning 閱讀筆記
8.
Machine Learning & Deep Learning 論文閱讀筆記
9.
論文解析:Machine Learning with Membership Privacy using Adversarial Regularization
10.
Classification and inference with machine learning
更多相關文章...
•
Docker Machine
-
Docker教程
•
ASP.NET Razor - 標記
-
ASP.NET 教程
•
Tomcat學習筆記(史上最全tomcat學習筆記)
•
Scala 中文亂碼解決
相關標籤/搜索
論文筆記
membership
attacks
machine
inference
models
learning
論文
論文閱讀筆記
文筆
MyBatis教程
PHP教程
MySQL教程
文件系統
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
Duang!超快Wi-Fi來襲
2.
機器學習-補充03 神經網絡之**函數(Activation Function)
3.
git上開源maven項目部署 多module maven項目(多module maven+redis+tomcat+mysql)後臺部署流程學習記錄
4.
ecliple-tomcat部署maven項目方式之一
5.
eclipse新導入的項目經常可以看到「XX cannot be resolved to a type」的報錯信息
6.
Spark RDD的依賴於DAG的工作原理
7.
VMware安裝CentOS-8教程詳解
8.
YDOOK:Java 項目 Spring 項目導入基本四大 jar 包 導入依賴,怎樣在 IDEA 的項目結構中導入 jar 包 導入依賴
9.
簡單方法使得putty(windows10上)可以免密登錄樹莓派
10.
idea怎麼用本地maven
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
論文解析:Membership Inference Attacks Against Machine Learning Models(一看即懂)
2.
論文學習筆記 MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
3.
論文筆記:ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learn
4.
Practical Black-Box Attacks against Machine Learning
5.
[paper]Practical Black-Box Attacks against Machine Learning
6.
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
7.
Practical Black-Box Attacks against Machine Learning 閱讀筆記
8.
Machine Learning & Deep Learning 論文閱讀筆記
9.
論文解析:Machine Learning with Membership Privacy using Adversarial Regularization
10.
Classification and inference with machine learning
>>更多相關文章<<