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WPES
2003
ACM
15 years 11 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
NSDI
2010
15 years 7 months ago
Airavat: Security and Privacy for MapReduce
We present Airavat, a MapReduce-based system which provides strong security and privacy guarantees for distributed computations on sensitive data. Airavat is a novel integration o...
Indrajit Roy, Srinath T. V. Setty, Ann Kilzer, Vit...
DMKD
2003
ACM
151views Data Mining» more  DMKD 2003»
15 years 11 months ago
Assuring privacy when big brother is watching
Homeland security measures are increasing the amount of data collected, processed and mined. At the same time, owners of the data raised legitimate concern about their privacy and...
Murat Kantarcioglu, Chris Clifton
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
15 years 11 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
CCS
2010
ACM
15 years 5 months ago
PriMa: an effective privacy protection mechanism for social networks
In this paper, we propose PriMa (Privacy Manager), a privacy protection mechanism which supports semi-automated generation of access rules for users’ profile information. PriMa...
Anna Cinzia Squicciarini, Federica Paci, Smitha Su...