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» Computational Differential Privacy
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CCS
2006
ACM
15 years 9 months ago
Data collection with self-enforcing privacy
Consider a pollster who wishes to collect private, sensitive data from a number of distrustful individuals. How might the pollster convince the respondents that it is trustworthy?...
Philippe Golle, Frank McSherry, Ilya Mironov
DMIN
2007
85views Data Mining» more  DMIN 2007»
15 years 7 months ago
A Clustering Approach for Achieving Data Privacy
Abstract — New privacy regulations together with everincreasing data availability and computational power have created a huge interest in data privacy research. One major researc...
Alina Campan, Traian Marius Truta, John Miller, Ra...
CCS
2008
ACM
15 years 7 months ago
Building castles out of mud: practical access pattern privacy and correctness on untrusted storage
We introduce a new practical mechanism for remote data storage with efficient access pattern privacy and correctness. A storage client can deploy this mechanism to issue encrypted...
Peter Williams, Radu Sion, Bogdan Carbunar
TKDE
2010
164views more  TKDE 2010»
15 years 4 months ago
PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects
—Efficiency and privacy are two fundamental issues in moving object monitoring. This paper proposes a privacy-aware monitoring (PAM) framework that addresses both issues. The fra...
Haibo Hu, Jianliang Xu, Dik Lun Lee
CCS
2010
ACM
16 years 9 days ago
Secure provenance: the essential of bread and butter of data forensics in cloud computing
Secure provenance that records ownership and process history of data objects is vital to the success of data forensics in cloud computing, yet it is still a challenging issue toda...
Rongxing Lu, Xiaodong Lin, Xiaohui Liang, Xuemin (...