141 citations · 513 across the 18 of their papers we have counts for
6 papers · 1 filter
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
Nick Angelou, Ayoub Benaissa, Bogdan Cebere +9
We present a multi-language, cross-platform, open-source library for asymmetric private set intersection (PSI) and PSI-Cardinality (PSI-C). Our protocol combines traditional DDH-ba…
A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric
Charalampos Stamatellis, Pavlos Papadopoulos, Nikolaos Pitropakis +2
Electronic health record (EHR) management systems require the adoption of effective technologies when health information is being exchanged. Current management approaches often fac…
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing
William J Buchanan, Muhammad Ali Imran, Masood Ur-Rehman +6
The outbreak of viruses have necessitated contact tracing and infection tracking methods. Despite various efforts, there is currently no standard scheme for the tracing and trackin…
Privacy Preserving Passive DNS
Pavlos Papadopoulos, Nikolaos Pitropakis, William J. Buchanan +2
The Domain Name System (DNS) was created to resolve the IP addresses of the web servers to easily remembered names. When it was initially created, security was not a major concern;…
A Distributed Trust Framework for Privacy-Preserving Machine Learning
Will Abramson, Adam James Hall, Pavlos Papadopoulos +2
When training a machine learning model, it is standard procedure for the researcher to have full knowledge of both the data and model. However, this engenders a lack of trust betwe…
Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach
Orestis Christou, Nikolaos Pitropakis, Pavlos Papadopoulos +2
Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high situa…