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ESORICS
2008
Springer
15 years 8 months ago
Sharemind: A Framework for Fast Privacy-Preserving Computations
Gathering and processing sensitive data is a difficult task. In fact, there is no common recipe for building the necessary information systems. In this paper, we present a provably...
Dan Bogdanov, Sven Laur, Jan Willemson
CCS
2010
ACM
15 years 10 months 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»
16 years 6 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
16 years 1 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
IHI
2010
124views Healthcare» more  IHI 2010»
15 years 1 months ago
Reliable medical recommendation systems with patient privacy
One of the concerns patients have when confronted with a medical condition is which physician to trust. Any recommendation system that seeks to answer this question must ensure an...
T. Ryan Hoens, Marina Blanton, Nitesh V. Chawla