Sciweavers

188 search results - page 1 / 38
» Differentially Private Approximation Algorithms
Sort
View
SODA
2010
ACM
164views Algorithms» more  SODA 2010»
14 years 2 months ago
Differentially Private Approximation Algorithms
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
SODA
2010
ACM
174views Algorithms» more  SODA 2010»
13 years 3 months ago
Differentially Private Combinatorial Optimization
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
SIGMOD
2010
ACM
236views Database» more  SIGMOD 2010»
13 years 10 months ago
Differentially private aggregation of distributed time-series with transformation and encryption
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Vibhor Rastogi, Suman Nath
STOC
2010
ACM
618views Algorithms» more  STOC 2010»
14 years 2 months ago
Differential Privacy Under Continual Observation
We ask the question ? how can websites and data aggregators continually release updated statistics, and meanwhile preserve each individual user's privacy? We propose a differ...
Cynthia Dwork, Moni Naor, Toniann Pitassi and Guy ...
FOCS
2008
IEEE
13 years 11 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...