[PDF] Top 20 Practical Private Data Analysis with Differential Privacy.
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Practical Private Data Analysis with Differential Privacy.
... differentially private estimates of subgraph counting queries, including triangles and ...pure differential privacy, as opposed to the weaker (, δ)-differential ...edge-differential ... See full document
176
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy
... both data sanitization and private learning, suggesting relationships between the two ...differential privacy). In particular, we show a reduction from the task of private learning to ... See full document
61
Location Data Record Privacy Protection based on Differential Privacy Mechanism
... on differential privacy mechanism, many relat- ed technologies are used to protect location ...strong differential privacy protection ...predictive differential-private mechanism ... See full document
16
Raw Data Truthfulness and Privacy Preservation in a Practical Data Market
... individual privacy is preserved. This undertaking is called privacy-preserving data publishing ...the analysis field continues to be quickly developing, it is a good time to discuss the ... See full document
5
Privacy-preserving decision tree for epistasis detection
... the privacy and security of SNP data (Johnson and Shmatikov 2013; Simmons and Berger 2016; Uhlerop et ...that differential privacy is a suitable basis for privacy-preserving query ... See full document
12
Differential Privacy for Functions and Functional Data
... differentially private contingency ...statistical analysis is required, while still maintaining ...original data is not categorical (for example, containing real valued measurements) there are two ... See full document
25
Privacy-Preserving Trajectory Data Publishing via Differential Privacy
... Chen et al. [13] acknowledged the drawback of [15] that the number sequences repre- sented in each branch of the prefix tree reduces considerably, thus resulting in poor utility overall. Therefore, they introduce a ... See full document
86
Splinter: Practical Private Queries on Public Data
... Many online services let users query public datasets such as maps, flight prices, or restaurant reviews. Unfortu- nately, the queries to these services reveal highly sensitive information that can compromise users’ ... See full document
15
REVIEW ON DIFFERENTIAL PRIVACY OF REAL TIME DATA
... time data is get shared, it has great value. Because many times such data is private data and needs to maintain privacy of this ...time data is mostly shared in the form of ... See full document
5
Privacy-preserving and Usable Data Publishing and Analysis.
... spatial data with differential privacy ...release data based on counts and simple functions under differential privacy, it remains to provide general purpose techniques that are ... See full document
179
Privacy-Preserving Techniques for Multi-Criteria Queries.
... ferential privacy, we first propose a general technique that adapts existing differentially private data-publishing techniques to WaveCluster through synthetic data ...synthetic ... See full document
119
A Dynamic Social Network Data Publishing Algorithm Based on Differential Privacy
... personal privacy information may be leaked when social network da- ta is analyzed and ...The privacy strategy of the static social network data release usually cannot adapt to the dynamic development ... See full document
11
Lower Bounds for Differentially Private RAMs
... the privacy of access pattern is ...of data access performed by one of the two sequences cannot determine which of the two sequences induced the observed access ... See full document
31
Distributed Differential Privacy and Applications
... differentially private queries that, if straight- forwardly expressed as verifiable programs, would leak private information through the programs’ structures ...employ data-dependent ...ferential ... See full document
150
A Study on Differential Private Online Learning
... protecting privacy is ...the differential privacy ...error analysis for the new algorithms is performed, which shows the convergence and learning ...error analysis, a choice for the ... See full document
7
Implementation of Efficient Method of Aggregate Key for Encrypted Cloud Data
... the practical problem of privacy maintaining data sharing system based on public cloud storage which requires a data owner to assign a huge amount of keys to the users side to permit them to ... See full document
6
A Near-Optimal Algorithm for Differentially-Private Principal Components
... Differentially privacy is a mathematical definition, but algorithms must be implemented using finite precision ...machines. Privacy and computation interact in many places, including pseu- dorandomness, ... See full document
39
Differential Privacy Technique for Privacy Preservation on Big Data
... Big data is among one of the emerging technologies that are bringing revolution in the world of data ...of data analysis. The term big data is used to indicate large volumes of high ... See full document
6
Data Privacy Beyond Differential Privacy
... meaningful privacy notion for this large class of economic optimiza- tion problems, how do we design algorithms subject to this new privacy constraint? Do we need to “re-invent” all the powerful tools we ... See full document
195
Privacy Preserving Health Data Publishing using Secure two Party Algorithm
... of privacy-preserving data publishing has received a lot of attention in different research communities, from economic implications to anonymization ...of data distributed between multiple entities. ... See full document
6
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