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» Differentially Private Approximation Algorithms
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SODA
2010
ACM
164views Algorithms» more  SODA 2010»
14 years 4 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 5 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»
14 years 8 days 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 4 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
14 years 1 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 ...