Publishing microdata raises concerns of individual privacy. When there exist outlier records in the microdata, the distinguishability of the outliers enables their privacy to be e...
Given a collection of images of a static scene taken by many different people, we identify and segment interesting objects. To solve this problem, we use the distribution of images...
In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
In many practical scenarios, nodes gathering at points of interest yield sizable connected components (clusters), which sometimes comprise the majority of nodes. While recent anal...
We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...