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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 3 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
VLDB
2005
ACM
136views Database» more  VLDB 2005»
14 years 3 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
SIGMOD
2010
ACM
236views Database» more  SIGMOD 2010»
14 years 2 months ago
Differentially private aggregation of distributed time-series with transformation and encryption
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Vibhor Rastogi, Suman Nath
SOUPS
2010
ACM
14 years 2 months ago
Parenting from the pocket: value tensions and technical directions for secure and private parent-teen mobile safety
An increasing number of high-tech devices, such as driver monitoring systems and Internet usage monitoring tools, are advertised as useful or even necessary for good parenting of ...
Alexei Czeskis, Ivayla Dermendjieva, Hussein Yapit...
CCS
2006
ACM
14 years 1 months ago
Providing witness anonymity in peer-to-peer systems
In this paper, we introduce the concept of witness anonymity for peer-to-peer systems. Witness anonymity combines the seemingly conflicting requirements of anonymity (for honest p...
Bo Zhu, Sanjeev Setia, Sushil Jajodia