[PDF] Top 20 Differentially Private Data Aggregation with Optimal Utility
Has 10000 "Differentially Private Data Aggregation with Optimal Utility" found on our website. Below are the top 20 most common "Differentially Private Data Aggregation with Optimal Utility".
Differentially Private Data Aggregation with Optimal Utility
... Internet data about users visiting a website. For instance, data can include user demographics, browsing behavior, and information about the clients’ ...user’s data would be ... See full document
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Differentially Private Linear Algebra in the Streaming Model
... for private low-rank approximation under the assumption that the rows of the input matrix are ...the optimal value, where δ < 1/ ...the optimal value, then their error bound is O( √ kOPTn 1/4 log ... See full document
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Differentially Private Empirical Risk Minimization
... algorithm differentially private by adding noise to its ...training data, but increases the prediction error of the ...Their utility analysis differs from ours, and thus the analogous gen- ... See full document
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Differentially Private Smart Metering with Battery Recharging
... Papers that strive for di ff erential privacy guarantees, yet without considering a bat- tery (and hence in particular without the corresponding benefits gained from privacy- friendly recharging) include [3, 10, 25, 27]. ... See full document
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Secure MultiParty Protocol for Differentially-Private Data Release
... of utility as measuring how well an attribute can partition (or group) individuals in a ...low utility suggests that the majority of the individuals are identical with respect to that ...high ... See full document
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Practical Private Data Analysis with Differential Privacy.
... accurate, differentially private estimates of subgraph counting queries, including triangles and ...both private and accurate is not possible, in ...are private and presents an approach that ... See full document
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Frequent Itemset Mining Using Pfp Growth Via Smart Splitting
... implications. Data owner impaired in computational resources can outsource to third party ...as private property of data owner. Therefore, outsourcing data required privacy protection which ... See full document
5
Differentially Private Data Releasing for Smooth Queries
... of the data. In real application such a running time is unacceptable. We thus consider a variant of Algorithm 3 which turns out to be very efficient and suffers only from minor loss in accuracy in our experiments. ... See full document
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Differentially private genome data dissemination through top-down specialization
... genomic data in a privacy-preserving ...promising utility with desirable computational complex- ...retain data utility with a high ...erogeneous data, such as records consisting of both ... See full document
7
Differentially Private High-Dimensional Data Publication via Markov Network
... high-dimensional data, a basic idea is to propose an effective variable selection method to reduce the dimension to a reasonable degree (dimensionality reduction) on the premise of losing less information and then ... See full document
11
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View
... on differentially private ERM in the last decade which attack the problem from different per- ...the optimal bound for smooth and strongly convex ... See full document
8
Differentially private distributed logistic regression using private and public data
... the data to make more difficult for attackers to re-identify individuals (k-anonymity [4], l-divergence [5], t-closeness [6], ...and utility) of a differentially private method is highly ... See full document
10
The Complexity of Computing the Optimal Composition of Differential Privacy
... Research Data” 2 ...make differentially private statistics about their data available through data repositories using the Dataverse 3 platform [3, ...both data depositors and ... See full document
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Enhanced Differentially Private Data Aggregation with Fault Tolerance for Smart Grid Communications
... Parts: aggregation and relaying. The work and responsibility of aggregation is to aggregate the measurements from Residential area into an integrated one, whereas the work and responsibility of relaying is ... See full document
6
Data Integration of Distributed Data Using Secure Two Party Algorithm
... distributed data, from complexity to ...developed optimal incremental violation detection algorithms for data partitioned vertically or horizontally, as well as optimization ...distributed ... See full document
5
Optimal Lower Bound for Differentially Private Multi-Party Aggregation
... ferentially private multi-party protocol with a sparse communication graph must have large error, where two nodes are allowed to communicate only if they are adjacent in the communication ... See full document
16
A Near-Optimal Algorithm for Differentially-Private Principal Components
... privacy-preserving data-mining work (Zhan and Matwin, 2007) is in the Secure Multiparty Computation setting; one work (Han et ...sanitizing data prior to publication (Liu et ... See full document
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Differentially Private Access Patterns in Secure Computation
... In private record linkage protocols, items are typically hashed into bins, and dummy items are used to hide the load of each ...user’s data is completely recovered, and this value is typically set to 2 −40 ... See full document
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Adaptive Minimax Regression Estimation over Sparse $\ell_q$-Hulls
... to optimal estimation that allows model misspec- ification is done in the framework of aggregation of ...of aggregation emphasizes that the predic- tors/the initial estimates are basically arbitrary ... See full document
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Black Box Separations for Differentially Private Protocols
... At a basic level, we wish to study privacy-accuracy tradeoffs that arise in the distributed setting. Following [GMPS13], in order to obtain results for a wide class of functions, we focus on the compu- tation of ... See full document
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