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Differentially Private Na ̈ive Bayes Classification
Jaideep Vaidya
,
Basit Shafiq
,
Anirban Basu
,
Yuan Hong
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Privacy-preserving collaborative filtering on the cloud -- practical implementation experiences
Anirban Basu
,
Jaideep Vaidya
,
Hiroaki Kikuchi
,
Theo Dimitrakos
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Reflections on Measuring the Trust Empowerment Potential of a Digital Environment
Natasha Dwyer
,
Anirban Basu
,
Stephen Marsh
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Security Enhancement with Foreground Trust, Comfort, and Ten Commandments for Real People
Stephen Marsh
,
Anirban Basu
,
Natasha Dwyer
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A concordance framework for building trust evidences
Anirban Basu
,
Natasha Dwyer
,
Stephen Naicken
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Feasibility of a privacy preserving collaborative filtering scheme on the Google App Engine -- a performance case-study
Anirban Basu
,
Jaideep Vaidya
,
Theo Dimitrakos
,
Hiroaki Kikuchi
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Perturbation based privacy preserving Slope One predictors for collaborative filtering
Anirban Basu
,
Jaideep Vaidya
,
Hiroaki Kikuchi
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Rendering unto Cæ sar the Things that are Cæ sar's: Complex Trust Models and Human Understanding
Stephen Marsh
,
Anirban Basu
,
Natasha Dwyer
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Scalable Privacy-Preserving Data Mining with Asynchronously Partitioned Datasets
In the Näive Bayes classification problem using a vertically partitioned dataset, the conventional scheme to preserve privacy of each …
Hiroaki Kikuchi
,
Daisuke Kagawa
,
Anirban Basu
,
Kazuhiko Ishii
,
Masayuki Terada
,
Sadayuki Hongo
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Practical privacy preserving collaborative filtering on the Google App Engine
Anirban Basu
,
Jaideep Vaidya
,
Hiroaki Kikuchi
,
Theo Dimitrakos
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