455 search results - page 36 / 91 » Differential Privacy in New Settings |
COMPSAC
2004
IEEE
15 years 1 months ago
2004
IEEE
Data mining techniques have been developed in many applications. However, it also causes a threat to privacy. We investigate to find an appropriate balance between a need for priv...
152
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ICDE
2007
IEEE
15 years 11 months ago
2007
IEEE
k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-anonymous dataset, any identifying information occurs in at least k tuples. Much...
222
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
We introduce a morphological approach to curve evolution. The
differential operators used in the standard PDE snake models can be
approached using morphological operations...
PERCOM
2010
ACM
14 years 8 months ago
2010
ACM
—Traditional approaches to K-anonymity provide privacy guarantees over publicly released data sets with specified quasi-identifiers. However, the most common public releases of...
83
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DAC
2005
ACM
14 years 11 months ago
2005
ACM
This paper presents a novel placement algorithm for timing optimization based on a new and powerful concept, which we term differential timing analysis. Recognizing that accurate ...