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FOCS
2010
IEEE
13 years 7 months ago
The Limits of Two-Party Differential Privacy
We study differential privacy in a distributed setting where two parties would like to perform analysis of their joint data while preserving privacy for both datasets. Our results ...
Andrew McGregor, Ilya Mironov, Toniann Pitassi, Om...
SIGMOD
2007
ACM
166views Database» more  SIGMOD 2007»
14 years 10 months ago
Threats to privacy in the forensic analysis of database systems
The use of any modern computer system leaves unintended traces of expired data and remnants of users' past activities. In this paper, we investigate the unintended persistenc...
Patrick Stahlberg, Gerome Miklau, Brian Neil Levin...
VISUALIZATION
1997
IEEE
14 years 2 months ago
Multiresolution tetrahedral framework for visualizing regular volume data
We present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levelsof-detail tetrahedra. The framework is generated through a...
Yong Zhou, Baoquan Chen, Arie E. Kaufman
PERCOM
2009
ACM
14 years 4 months ago
Towards Privacy-Sensitive Participatory Sensing
—The ubiquity of mobile devices has brought forth the concept of participatory sensing, whereby ordinary citizens can now contribute and share information from the urban environm...
Kuan Lun Huang, Salil S. Kanhere, Wen Hu
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 10 months ago
A new scheme on privacy-preserving data classification
We address privacy-preserving classification problem in a distributed system. Randomization has been the approach proposed to preserve privacy in such scenario. However, this appr...
Nan Zhang 0004, Shengquan Wang, Wei Zhao