To date, research has focussed on privacy from a wide perspective, enabling organisations to implement various technologies that contribute to privacy protection. However, in such...
Event/object classification and recognition is an extremely challenging problem, particularly when the query or stored data undergo an affine transformation due to camera motion. ...
The intent of peer data management systems (PDMS) is to share as much data as possible. However, in many applications leveraging sensitive data, users demand adequate mechanisms to...
Differential Privacy (DP) has emerged as a formal, flexible framework for privacy protection, with a guarantee that is agnostic to auxiliary information and that admits simple ru...
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...