Abstract Upon the General Data Protection Regulation's (GDPR) application on 25 May 2018 across the European Union, new legal requirements for the protection of personal data …
Today's increased availability of large amounts of human behavioral data and advances in artificial intelligence (AI) are contributing to a growing reliance on algorithms to make …
Background Data sharing is considered a crucial part of modern medical research. Unfortunately, despite its advantages, it often faces obstacles, especially data privacy …
Provision of personalized recommendations to users requires accurate modeling of their interests and needs. This work proposes a general framework and specific methodologies …
Context: Diversification and obfuscation are promising techniques for securing software and protecting computers from harmful malware. The goal of these techniques is not removing …
C Bettini, D Riboni - Pervasive and Mobile Computing, 2015 - Elsevier
Pervasive and mobile computing applications are dramatically increasing the amount of personal data released to service providers as well as to third parties. Data includes …
Data-driven methods for mental health treatment and surveillance have become a major focus in computational science research in the last decade. However, progress in the …
Finite automata and finite transducers are used in a wide range of applications in software engineering, from regular expressions to specification languages. We extend these classic …
W Wang, P Xu, LT Yang - IEEE cloud computing, 2018 - ieeexplore.ieee.org
The cloud-assisted Internet of Things (IoT) provides a promising solution to data booming problems for the ability constraints of individual objects. However, with the leverage of cloud …