This position paper investigates the problem of automated text anonymisation, which is a prerequisite for secure sharing of documents containing sensitive information about …
IoT devices generate data over time, which is going to be shared with other parties to provide high-level services. Smart City is one of its applications which aims to manage cities …
We review the use of differential privacy (DP) for privacy protection in machine learning (ML). We show that, driven by the aim of preserving the accuracy of the learned models, DP …
BFG Fabrègue, A Bogoni - Smart Cities, 2023 - mdpi.com
This article will highlight negative personal privacy and informational security outcomes that may arise from development programs currently pursued in smart cities. It aims to illustrate …
The increasing volume of personal and sensitive data being harvested by data controllers makes it increasingly necessary to use the cloud not just to store the data, but also to …
The widespread adoption of continuously connected smartphones and tablets developed the usage of mobile applications, among which many use location to provide geolocated …
J Hassan, D Shehzad, U Habib… - Computational …, 2022 - Wiley Online Library
Cloud computing is a long‐standing dream of computing as a utility, where users can store their data remotely in the cloud to enjoy on‐demand services and high‐quality applications …
We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods. Text anonymization, defined as the task of …
Sensitive personal data are created in many application domains, and there is now an increasing demand to share, integrate, and link such data within and across organisations in …