We investigate legal and philosophical notions of privacy in the context of artificial agents. Our analysis utilizes a normative account of privacy that defends its value and the ...
The principle of information security safeguards is a key information principle contained in every privacy legislation measure, framework, and guideline. This principle requires d...
In this paper we highlight the need for privacy of user data used in digital identity management systems. We investigate the issues from the individual, business, and government pe...
Abhilasha Bhargav-Spantzel, Anna Cinzia Squicciari...
Abstract. We propose a new privacy model for XML data called Privacy for All (P4A) to capture collectors privacy practice and data providers privacy preferences. Through P4A data c...
: Children's privacy has become critical with the increasing use of the Internet for commercial purposes and corresponding increase in requests for information. 65% of childre...
Karthik Channakeshava, Kaigui Bian, Michael S. Hsi...
Publishing a database instance containing individual information poses two kinds of privacy risk: presence leakage, by which the attackers can explicitly identify individuals in (...
: 2D Face images are traditionally used in civil governmental applications. An extension from 2D to 3D images will lead to several advantages when setting up automated authenticati...
Xuebing Zhou, Tom A. M. Kevenaar, Emile Kelkboom, ...
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...
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Satisfying the varied privacy preferences of individuals, while exposing context data to authorized applications and individuals, remains a major challenge for context-aware compu...
Marion Blount, John Davis, Maria Ebling, William F...