Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead
to its adoption in critical infrastructure. However, the multitude of benefits that are derived …

We propose a general approach for differentially private synthetic data generation, that
consists of three steps:(1) select a collection of low-dimensional marginals,(2) measure …

High-dimensional crowdsourced data collected from numerous users produces rich
knowledge about our society; however, it also brings unprecedented privacy threats to the …

Camouflaging user's actual location with fakes is a prevalent obfuscation technique for
protecting location privacy. We show that the protection mechanisms based on the existing …

Graph data publishing under node-differential privacy (node-DP) is challenging due to the
huge sensitivity of queries. However, since a node in graph data oftentimes represents a …

摘要随着数据分析和发布等应用需求的出现和发展, 如何保护隐私数据和防止敏感信息泄露成为
当前面临的重大挑战. 基于k-匿名或者划分的隐私保护方法, 只适应特定背景知识下的攻击而 …

Many privacy mechanisms reveal high-level information about a data distribution through
noisy measurements. It is common to use this information to estimate the answers to new …

Over the last decade, differential privacy (DP) has emerged as the de facto standard privacy
notion for research in privacy-preserving data analysis and publishing. The DP notion offers …

Releasing high-dimensional data enables a wide spectrum of data mining tasks. Yet,
individual privacy has been a major obstacle to data sharing. In this paper, we consider the …