115 search results - page 2 / 23 » Boosting and Differential Privacy |
PSD
2010
Springer
13 years 3 months ago
2010
Springer
The concept of differential privacy was motivated through the example of Terry Gross’ height in Dwork (2006). In this paper, we show that when a procedure based on differential p...
NORDSEC
2009
Springer
13 years 12 months ago
2009
Springer
NIPS
2003
13 years 6 months ago
2003
In order to understand AdaBoost’s dynamics, especially its ability to maximize margins, we derive an associated simplified nonlinear iterated map and analyze its behavior in lo...
EDBT
2012
ACM
11 years 7 months ago
2012
ACM
Differential privacy has gained a lot of attention in recent years as a general model for the protection of personal information when used and disclosed for secondary purposes. It...
PRL
2008
13 years 5 months ago
2008
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...