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» A Framework for Privacy Preserving Classification in Data Mi...
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WPES
2005
ACM
14 years 1 months ago
Maintaining privacy on derived objects
Protecting privacy means to ensure users that access to their personal data complies with their preferences. However, information can be manipulated in order to derive new objects...
Nicola Zannone, Sushil Jajodia, Fabio Massacci, Du...
54
Voted
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 7 months ago
Fast Data Anonymization with Low Information Loss
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...
CCS
2007
ACM
14 years 1 months ago
Split-ballot voting: everlasting privacy with distributed trust
In this paper we propose a new voting protocol with desirable security properties. The voting stage of the protocol can be performed by humans without computers; it provides every...
Tal Moran, Moni Naor
PKDD
2010
Springer
194views Data Mining» more  PKDD 2010»
13 years 5 months ago
Weighted Symbols-Based Edit Distance for String-Structured Image Classification
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
Cécile Barat, Christophe Ducottet, É...
HICSS
2003
IEEE
176views Biometrics» more  HICSS 2003»
14 years 26 days ago
Ad-Hoc Association-Rule Mining within the Data Warehouse
Many organizations often underutilize their already constructed data warehouses. In this paper, we suggest a novel way of acquiring more information from corporate data warehouses...
Svetlozar Nestorov, Nenad Jukic