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» A Condensation Approach to Privacy Preserving Data Mining
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ACSAC
2003
IEEE
14 years 2 months ago
Automated Analysis for Digital Forensic Science: Semantic Integrity Checking
When computer security violations are detected, computer forensic analysts attempting to determine the relevant causes and effects are forced to perform the tedious tasks of find...
Tye Stallard, Karl N. Levitt
NIPS
2007
13 years 10 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
DKE
2008
106views more  DKE 2008»
13 years 8 months ago
Towards optimal k-anonymization
When releasing microdata for research purposes, one needs to preserve the privacy of respondents while maximizing data utility. An approach that has been studied extensively in re...
Tiancheng Li, Ninghui Li
ICDE
2009
IEEE
392views Database» more  ICDE 2009»
15 years 8 months ago
FF-Anonymity: When Quasi-Identifiers Are Missing
Existing approaches on privacy-preserving data publishing rely on the assumption that data can be divided into quasi-identifier attributes (QI) and sensitive attribute (SA). This ...
Ada Wai-Chee Fu, Ke Wang, Raymond Chi-Wing Wong, Y...
TITB
2008
204views more  TITB 2008»
13 years 8 months ago
A Cryptographic Approach to Securely Share and Query Genomic Sequences
To support large-scale biomedical research projects, organizations need to share person-specific genomic sequences without violating the privacy of their data subjects. In the past...
Murat Kantarcioglu, Wei Jiang, Ying Liu, Bradley M...