Exponential mechanism (differential privacy)

The exponential mechanism is a technique for designing differentially private algorithms developed by Frank McSherry and Kunal Talwar. Differential…

Papers overview

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2020

Recommendation engines analyze ratings data to suggest individuals new products or services based on their past experiences…

2019

A differentially private frequent itemset mining algorithm DP-FMA is proposed for privacy protection of frequent itemset mining…

2018

In this paper, we develop a privacy implementation for symbolic control systems. Such systems generate sequences of non-numerical…

2018

Differential privacy does not care about the background knowledge of attackers, and can strongly protect the data information to…

2017

Frequent itemset mining is the basis of discovering transaction relationships and providing information services such as…

2017

In the last years we have witnessed the appearance of a variety of strategies to design optimal location privacy-preserving…

2016

Big data is the biggest asset today, for organization sto amass and leverage to improve on services and profits. Knowing this…

2014

Frequent pattern mining discovers sets of items that frequently appear together in a transactional database; these can serve…

2014

We study the problem of a user who has both public and private data, and wants to release the public data, e.g. to a…

2010

In this paper, we consider the task of answering linear queries under the constraint of differential privacy. This is a general…