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ESORICS
2005
Springer
14 years 1 months ago
Privacy Preserving Clustering
The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together...
Somesh Jha, Louis Kruger, Patrick McDaniel
ICDE
2007
IEEE
1577views Database» more  ICDE 2007»
15 years 7 months ago
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to...
Ninghui Li, Tiancheng Li, Suresh Venkatasubramania...
CCS
2010
ACM
14 years 4 days ago
Data protection in outsourcing scenarios: issues and directions
Data outsourcing is an emerging paradigm that allows users and companies to give their (potentially sensitive) data to external servers that then become responsible for their stor...
Pierangela Samarati, Sabrina De Capitani di Vimerc...
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 8 months ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor
PERCOM
2009
ACM
14 years 2 months ago
Towards Privacy-Sensitive Participatory Sensing
—The ubiquity of mobile devices has brought forth the concept of participatory sensing, whereby ordinary citizens can now contribute and share information from the urban environm...
Kuan Lun Huang, Salil S. Kanhere, Wen Hu