差分隐私(Differential Privacy)是一个框架,用于评估一个旨在保护隐私的机制(算法)所提供的隐私保证。 它的数学定义[1]如下: 我们不需要现在去理解它的数学意义,暂且跳过这个公式也不会影响接下来的理解。它的核心思想就是说,对于相差一条记录的两个数据集(D1,D2),查询它们获得相同结果的概率(Pr)是非常接近的,...
参考 ^The Algorithmic Foundations of Differential Privacyhttps://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf ^
Book 2017, Mobile Security and PrivacyX. Lu, M.H. Au Review article Insights into security and privacy issues in smart healthcare systems based on medical images 4.2.2 Differential privacy Differential privacy refers to the mechanism of adding perturbation to the datasets to protect classified data...
【DP】Differential Privacy概念介绍 本节我们介绍一下差分隐私的概念,我将从以下几个方面开始介绍: 前言 去除标识化信息导致的隐私问题 背景知识攻击案例 我们需要什么样的隐私保护策略 差分隐私 一个简单的应用案例 待续 前言 在大数据背景下,如何保护个人信息安全以及防止隐私泄露一直是学术界和工业界的研究重点,从...
Programming Differential Privacy(一) 引言 关于差分隐私算法的一本书,是为了介绍关于数据隐私的一些挑战,以及一些解决这些挑战出现的技术,并帮助我们来学习这些技术的应用。 这书有一些算法例子和概念的实现,是在 jupyter notebook 上搞出来的,点击链接可以看。
privacy notion for research in privacy-preserving data analysis and publishing. The DP notion offers strong privacy guarantee and has been applied to many data analysis tasks. This Synthesis Lecture is the first of two volumes on differential privacy. This lecture differs from the existing book......
Over the past five years a new approach to privacy-preserving data analysis has born fruit [13, 18, 7, 19, 5, 37, 35, 8, 32]. This approach differs from much (but not all!) of the related literature in the statistics, databases, theory, and cryptography
Rényi differential privacy(RDP) is a new generalization of ε-differential privacy by Ilya Mironov that is comparable to the (ε, δ) version but has several advantages. For instance, RDP is easier to interpret than (ε, δ)-DP and composes more simply. ...
Differential Privacy and Robust Statistics Cynthia Dwork Jing Lei∗ Microsoft Research Department of Statistics dwork@ University of California, Berkeley jinglei@ ABSTRACT In this work we turn to a field in which considerable care We show by means of several examples that robust statis- has alrea...
machine-learningprivacydifferential-privacyfederated-learningfederated-learning-framework UpdatedJan 31, 2025 Jupyter Notebook Differential privacy validator and runtime privacydifferential-privacyopendpsmartnoise UpdatedJan 6, 2022 Rust Tools and service for differentially private processing of tabular and relation...