Zobrazeno 1 - 10
of 10
pro vyhledávání: '"David Zeber"'
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 9, Iss 2 (2019)
We propose a hybrid model of differential privacy that considers a combination of regular and opt-in users who desire the differential privacy guarantees of the local privacy model and the trusted curator model, respectively. We demonstrate that with
Externí odkaz:
https://doaj.org/article/2e53b46765c04f1faf3aeacfa5e7bcdc
Autor:
David Zeber, Camila Oliveira, Martin Lopatka, Fredrik Wollsén, Ilana Segall, Walter Rudametkin, Sarah Bird
Publikováno v:
The Web Conference
The Web Conference, Apr 2020, Taipei, Taiwan. ⟨10.1145/3366423.3380104⟩
WWW
The Web Conference, Apr 2020, Taipei, Taiwan. ⟨10.1145/3366423.3380104⟩
WWW
International audience; Large-scale Web crawls have emerged as the state of the art for studying characteristics of the Web. In particular, they are a core tool for online tracking research. Web crawling is an attractive approach to data collection,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d89e3ac9fc55013b6a2ac1fab57445c3
https://hal.inria.fr/hal-02456195/document
https://hal.inria.fr/hal-02456195/document
Autor:
David Zeber, Laura Thomson, Martin Lopatka, Alessio Pierluigi Placitelli, Victor Ng, Ben Paul Miroglio
Publikováno v:
UMAP
Web Extensions (add-ons) allow clients to customize their Web browsing experience through the addition of auxiliary features to their browsers. The add-on ecosystem is a market differentiator for the Firefox browser, offering contributions from both
Publikováno v:
Advances in Cryptology – EUROCRYPT 2019 ISBN: 9783030176525
EUROCRYPT (1)
EUROCRYPT (1)
We consider the problem of designing scalable, robust protocols for computing statistics about sensitive data. Specifically, we look at how best to design differentially private protocols in a distributed setting, where each user holds a private datu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d714c13ae5e7e53501dfad59ffaa6991
https://doi.org/10.1007/978-3-030-17653-2_13
https://doi.org/10.1007/978-3-030-17653-2_13
Publikováno v:
WWW
Web users are increasingly turning to ad blockers to avoid ads, which are often perceived as annoying or an invasion of privacy. While there has been significant research into the factors driving ad blocker adoption and the detrimental effect to ad p
Autor:
David Zeber, Sidney I. Resnick
Publikováno v:
Extremes. 17:263-287
Classical multivariate extreme value modelling assumes that the joint distribution belongs to a multivariate domain of attraction and this assumption requires that each marginal distribution be individually attracted to a univariate extreme value dis
Autor:
David Zeber, Sidney I. Resnick
Publikováno v:
Bernoulli 19, no. 4 (2013), 1419-1448
The tail chain of a Markov chain can be used to model the dependence between extreme observations. For a positive recurrent Markov chain, the tail chain aids in describing the limit of a sequence of point processes $\{N_n,n\geq1\}$, consisting of nor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03f15187adf4fd92bba4c9c74b35051f
http://projecteuclid.org/euclid.bj/1377612859
http://projecteuclid.org/euclid.bj/1377612859
Autor:
David Zeber, Sidney I. Resnick
Publikováno v:
Adv. in Appl. Probab. 45, no. 1 (2013), 186-213
An asymptotic model for extreme behavior of certain Markov chains is the "tail chain". Generally taking the form of a multiplicative random walk, it is useful in deriving extremal characteristics such as point process limits. We place this model in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a3a3a2a9e52bab1682d3074bac3477e
http://projecteuclid.org/euclid.aap/1363354108
http://projecteuclid.org/euclid.aap/1363354108
Autor:
David Zeber, Sidney I. Resnick
The classical approach to extreme value modelling for multivariate data is to assume that the joint distribution belongs to a multivariate domain of attraction. In particular, this requires that each marginal distribution be individually attracted to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fba609491907a01e05bd8ee52fe25cf0
https://doi.org/10.21236/ada585767
https://doi.org/10.21236/ada585767
Autor:
Andre Vellino, David Zeber
Publikováno v:
2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.
A recommender system for scientific scholarly articles that is both hybrid (content and collaborative filtering based) and multi-dimensional (across metadata categories such as subject hierarchies, journal clusters and keyphrases) can improve scienti