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» From Data Privacy to Location Privacy: Models and Algorithms
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EDBT
2009
ACM
136views Database» more  EDBT 2009»
16 years 23 days ago
On the comparison of microdata disclosure control algorithms
Privacy models such as k-anonymity and -diversity typically offer an aggregate or scalar notion of the privacy property that holds collectively on the entire anonymized data set....
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
CCS
2010
ACM
15 years 9 months ago
Towards publishing recommendation data with predictive anonymization
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...
SIGMOD
2005
ACM
128views Database» more  SIGMOD 2005»
16 years 6 months ago
Privacy Preserving OLAP
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (rand...
Rakesh Agrawal, Ramakrishnan Srikant, Dilys Thomas
CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 6 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
PERCOM
2010
ACM
15 years 4 months ago
Privacy assurance in mobile sensing networks: Go beyond trusted servers
—Mobile devices are becoming the largest sensor network around the world. They could be used to collect a large amount of data with little effort and cost which is leading to a p...
Ling Hu, Cyrus Shahabi