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pro vyhledávání: '"Naim, Carolina"'
We study the differentially private multi group aggregation (PMGA) problem. This setting involves a single server and $n$ users. Each user belongs to one of $k$ distinct groups and holds a discrete value. The goal is to design schemes that allow the
Externí odkaz:
http://arxiv.org/abs/2106.04467
Publikováno v:
IEEE Trans. Inf. Forensics Secur, vol. 16, pp. 2104-2117, Jan. 2021
We consider the problem of ON-OFF privacy in which a user is interested in the latest message generated by one of n sources available at a server. The user has the choice to turn privacy ON or OFF depending on whether he wants to hide his interest at
Externí odkaz:
http://arxiv.org/abs/2104.05135
We formulate and study the problem of ON-OFF privacy. ON-OFF privacy algorithms enable a user to continuously switch his privacy between ON and OFF. An obvious example is the incognito mode in internet browsers. But beyond internet browsing, ON-OFF p
Externí odkaz:
http://arxiv.org/abs/2004.04186
We study the ON-OFF privacy problem. At each time, the user is interested in the latest message of one of $N$ sources. Moreover, the user is assumed to be incentivized to turn privacy ON or OFF whether he/she needs it or not. When privacy is ON, the
Externí odkaz:
http://arxiv.org/abs/1907.07918
We introduce the ON-OFF privacy problem. At each time, the user is interested in the latest message of one of N online sources chosen at random, and his privacy status can be ON or OFF for each request. Only when privacy is ON the user wants to hide
Externí odkaz:
http://arxiv.org/abs/1905.00146
Autor:
Naim, Carolina
Privacy is now a major challenge encountered by users who can unknowingly reveal critical personal information through their online activities. Due to the correlation over time between the different behaviors of an online user or the correlation betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::266f4c5808988023a3f73efd5a937fe3
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