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ICML
2010
IEEE
13 years 5 months ago
Online Prediction with Privacy
In this paper, we consider online prediction from expert advice in a situation where each expert observes its own loss at each time while the loss cannot be disclosed to others fo...
Jun Sakuma, Hiromi Arai
VLDB
2007
ACM
108views Database» more  VLDB 2007»
14 years 8 months ago
Time Series Compressibility and Privacy
In this paper we study the trade-offs between time series compressibility and partial information hiding and their fundamental implications on how we should introduce uncertainty ...
Spiros Papadimitriou, Feifei Li, George Kollios, P...
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
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
14 years 9 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal
GRC
2007
IEEE
14 years 2 months ago
Towards Mobile Internet: Location Privacy Threats and Granular Computation Challenges
The bulk of contents out on the Internet continue to grow at an astounding pace. As computing and communications become ubiquitous, we are entering the Mobile Internet Computing e...
Ling Liu