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Related papers: PURE: A Framework for Analyzing Proximity-based Co…

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With the introduction of data protection regulations, the need for innovative privacy-preserving approaches to process and analyse sensitive data has become apparent. One approach is the Personal Health Train (PHT) that brings analysis code…

Contact tracing is of paramount importance when it comes to preventing the spreading of infectious diseases. Contact tracing is usually performed manually by authorized personnel. Manual contact tracing is an inefficient, error-prone,…

Machine Learning · Computer Science 2021-12-22 Pai Chet Ng , Petros Spachos , Konstantinos Plataniotis

Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing interests in the field of visual object tracking, and have achieved extremely compelling results in different competitions and benchmarks. In this paper, our…

Computer Vision and Pattern Recognition · Computer Science 2015-09-21 Zhe Chen , Zhibin Hong , Dacheng Tao

Contact tracing has emerged as one of the main mitigation strategies to prevent the spread of pandemics such as COVID-19. Recently, several efforts have been initiated to track individuals, their movements, and interactions using…

Privacy preservation in Internet of Things (IoT) systems requires the use of privacy-enhancing technologies (PETs) built from innovative technologies such as cryptography and artificial intelligence (AI) to create techniques called privacy…

Cryptography and Security · Computer Science 2026-02-10 Emmanuel Alalade , Ashraf Matrawy

Contact tracing is one of the most important tools for preventing the spread of infectious diseases, but as the experience of COVID-19 showed, it is also next-to-impossible to implement when the disease is spreading rapidly. We show how to…

Methodology · Statistics 2023-12-12 Aparajithan Venkateswaran , Jishnu Das , Tyler H. McCormick

Data sharing is a necessity for innovative progress in many domains, especially in healthcare. However, the ability to share data is hindered by regulations protecting the privacy of natural persons. Synthetic tabular data provide a…

Machine Learning · Computer Science 2025-07-17 Tobias Hyrup , Anton Danholt Lautrup , Arthur Zimek , Peter Schneider-Kamp

Today's software systems are highly distributed and interconnected, and they increasingly rely on communication to achieve their goals; due to their societal importance, security and trustworthiness are crucial aspects for the correctness…

The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system and the amount of protection offered by privacy-enhancing technologies. In this way, privacy metrics contribute to improving user privacy in the…

Cryptography and Security · Computer Science 2018-06-21 Isabel Wagner , David Eckhoff

Security protocols are concurrent processes that communicate using cryptography with the aim of achieving various security properties. Recent work on their formal verification has brought procedures and tools for deciding trace equivalence…

Cryptography and Security · Computer Science 2015-09-08 David Baelde , Stéphanie Delaune , Lucca Hirschi

Contact tracing is an important method to control the spread of an infectious disease such as COVID-19. However, existing contact tracing methods alone cannot provide sufficient coverage and do not successfully address privacy concerns of…

Cryptography and Security · Computer Science 2020-07-07 Xiaoyuan Liu , Ni Trieu , Evgenios M. Kornaropoulos , Dawn Song

As we await a vaccine, social-distancing via efficient contact tracing has emerged as the primary health strategy to dampen the spread of COVID-19. To enable efficient digital contact tracing, we present a novel system to estimate pair-wise…

Distance bounding protocols are security countermeasures designed to thwart relay attacks. Such attacks consist in relaying messages exchanged between two parties, making them believe they communicate directly with each other. Although…

Cryptography and Security · Computer Science 2015-03-17 Gildas Avoine , Sjouke Mauw , Rolando Trujillo-Rasua

One of the more widely advocated solutions for slowing down the spread of COVID-19 has been automated contact tracing. Since proximity data can be collected by personal mobile devices, the natural proposal has been to use this for automated…

Populations and Evolution · Quantitative Biology 2023-10-09 Hyunju Kim , Ayan Paul

As we enter the control phase of the COVID-19 pandemic, many efforts have been dedicated to developing smartphone-based contact tracing apps in order to automatically identify people that a person with COVID-19 might have infected. These…

Computers and Society · Computer Science 2020-04-17 Kristof Roomp , Nuria Oliver

This paper offers a new privacy approach for the growing ecosystem of services -- ranging from open banking to healthcare -- dependent on sensitive personal data sharing between individuals and third parties. While these services offer…

Cryptography and Security · Computer Science 2025-03-26 Kevin Liao , Shreya Thipireddy , Daniel Weitzner

Contacts between people are the absolute drivers of contagious respiratory infections. For this reason, limiting and tracking contacts is a key strategy for the control of the COVID-19 epidemic. Digital contact tracing has been proposed as…

Computers and Society · Computer Science 2022-12-01 Chiara Boldrini , Andrea Passarella , Marco Conti

The outbreak of coronavirus disease 2019 (covid-19) is imposing a severe worldwide lock-down. Contact tracing based on smartphones' applications (apps) has emerged as a possible solution to trace contagions and enforce a more sustainable…

Cryptography and Security · Computer Science 2021-06-08 Davide Andreoletti , Omran Ayoub , Silvia Giordano , Massimo Tornatore , Giacomo Verticale

The coronavirus disease 2019 (COVID-19) is a severe global pandemic that has claimed millions of lives and continues to overwhelm public health systems in many countries. The spread of COVID-19 pandemic has negatively impacted the human…

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