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NIPS
2007
13 years 11 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
TCC
2010
Springer
173views Cryptology» more  TCC 2010»
14 years 6 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
2008
IEEE
219views Database» more  ICDE 2008»
14 years 11 months ago
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Osman Abul, Francesco Bonchi, Mirco Nanni
CCS
2009
ACM
14 years 4 months ago
Privacy-preserving genomic computation through program specialization
In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards privacy...
Rui Wang, XiaoFeng Wang, Zhou Li, Haixu Tang, Mich...
WMCSA
2008
IEEE
14 years 4 months ago
Location-based trust for mobile user-generated content: applications, challenges and implementations
The recent explosion in shared media content and sensed data produced by mobile end-users is challenging well-established principles and assumptions in data trust models. A fundam...
Vincent Lenders, Emmanouil Koukoumidis, Pei Zhang,...