A review on machine unlearning

H Zhang, T Nakamura, T Isohara, K Sakurai - SN Computer Science, 2023 - Springer
Recently, an increasing number of laws have governed the useability of users' privacy. For
example, Article 17 of the General Data Protection Regulation (GDPR), the right to be …

The need for privacy with public digital contact tracing during the COVID-19 pandemic

Y Bengio, R Janda, YW Yu, D Ippolito… - The Lancet Digital …, 2020 - thelancet.com
Digital contact tracing applications represent a powerful yet controversial strategy to combat
the COVID-19 pandemic. Manual contact tracing has important challenges, not limited to …

Local transplantation, adaptation, and creation of AI models for public health policy

E Fournier-Tombs - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
This paper presents the Transplantation, Adaptation and Creation (TAC) framework, a
method for assessing the localization of different elements of an AI system. This framework is …

The adoption of contact tracing applications of COVID-19 by European governments

S Jacob, J Lawarée - Policy Design and Practice, 2021 - Taylor & Francis
Contact tracing can be defined as the identification and the monitoring of each person who
has been in contact with an infected person. However, the effectiveness of manual contact …

[HTML][HTML] Contact tracing apps: lessons learned on privacy, autonomy, and the need for detailed and thoughtful implementation

K Hogan, B Macedo, V Macha, A Barman… - JMIR Medical …, 2021 - medinform.jmir.org
The global and national response to the COVID-19 pandemic has been inadequate due to a
collective lack of preparation and a shortage of available tools for responding to a large …

Inherent privacy limitations of decentralized contact tracing apps

Y Bengio, D Ippolito, R Janda, M Jarvie… - Journal of the …, 2021 - academic.oup.com
Recently, there have been many efforts to use mobile apps as an aid in contact tracing to
control the spread of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus …

Epidemic mitigation by statistical inference from contact tracing data

A Baker, I Biazzo, A Braunstein… - Proceedings of the …, 2021 - National Acad Sciences
Contact tracing is an essential tool to mitigate the impact of a pandemic, such as the COVID-
19 pandemic. In order to achieve efficient and scalable contact tracing in real time, digital …

Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects

J von Kügelgen, L Gresele… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
We point out an instantiation of Simpson's paradox in COVID-19 case fatality rates (cfr s):
comparing a large-scale study from China (February 17) with early reports from Italy (March …

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

R Romijnders, C Louizos, YM Asano… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The pandemic in 2020 and 2021 had enormous economic and societal consequences, and
studies show that contact-tracing algorithms can be key in the early containment of the virus …

Microscopic modeling of spatiotemporal epidemic dynamics

T Pechlivanoglou, G Alix, N Yanin, J Li… - Proceedings of the 3rd …, 2022 - dl.acm.org
Conventional techniques of epidemic modeling are based on compartmental models, where
population groups are transitioning from one compartment to another-for example, S, I, or …