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» No free lunch in data privacy
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SIGMOD
2011
ACM
179views Database» more  SIGMOD 2011»
12 years 7 months ago
No free lunch in data privacy
Differential privacy is a powerful tool for providing privacypreserving noisy query answers over statistical databases. It guarantees that the distribution of noisy query answers...
Daniel Kifer, Ashwin Machanavajjhala
JMLR
2010
175views more  JMLR 2010»
12 years 12 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
CSE
2009
IEEE
13 years 11 months ago
A Framework to Balance Privacy and Data Usability Using Data Degradation
—Personal data is a valuable asset for service providers. To collect such data, free services are offered to users, for whom the risk of loosing privacy by subscribing to a servi...
Harold van Heerde, Maarten M. Fokkinga, Nicolas An...
SAINT
2009
IEEE
13 years 11 months ago
Owner-Centric Networking (OCN): Toward a Data Pollution-Free Internet
In this paper, we propose OCN (Owner-Centric Networking), a new Internet architecture that provides individuals control over their contents. We argue that this architecture would ...
Claude Castelluccia, Mohamed Ali Kâafar
ACSAC
2007
IEEE
13 years 11 months ago
Toward Realistic and Artifact-Free Insider-Threat Data
Progress in insider-threat detection is currently limited by a lack of realistic, publicly available, real-world data. For reasons of privacy and confidentiality, no one wants to...
Kevin S. Killourhy, Roy A. Maxion