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TCC
2010
Springer
173views Cryptology» more  TCC 2010»
14 years 4 months ago
Bounds on the Sample Complexity for Private Learning and Private Data Release
Learning is a task that generalizes many of the analyses that are applied to collections of data, and in particular, collections of sensitive individual information. Hence, it is n...
Amos Beimel, Shiva Prasad Kasiviswanathan, Kobbi N...
ICDE
2009
IEEE
132views Database» more  ICDE 2009»
14 years 9 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino
ICDE
2010
IEEE
194views Database» more  ICDE 2010»
14 years 7 months ago
XColor: Protecting General Proximity Privacy
As a severe threat in anonymized data publication, proximity breach is gaining increasing attention. Such breach occurs when an attacker learns with high confidence that the sensit...
Ting Wang, Ling Liu
WWW
2010
ACM
14 years 1 months ago
Privacy in dynamic social networks
Recent work on anonymizing online social networks (OSNs) has looked at privacy preserving techniques for publishing a single instance of the network. However, OSNs evolve and a si...
Smriti Bhagat, Graham Cormode, Balachander Krishna...
SPW
2004
Springer
14 years 1 months ago
Safe and Private Data Sharing with Turtle: Friends Team-Up and Beat the System
In this paper we describe Turtle, a peer-to-peer architecture for safe sharing of sensitive data. The truly revolutionary aspect of Turtle rests in its novel way of dealing with t...
Bogdan C. Popescu, Bruno Crispo, Andrew S. Tanenba...