Pavlos Papadopoulos | DeepAI

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∙ 01/02/2023

Towards The Creation Of The Future Fish Farm

A fish farm is an area where fish raise and bred for food. Fish farm env...

0 Pavlos Papadopoulos, et al. ∙

∙ 12/06/2022

The Future of Integrated Digital Governance in the EU: EBSI and GLASS

In the past, citizen identity has been used within siloed data areas, an...

0 William J Buchanan, et al. ∙

∙ 03/16/2022

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture

E-governance is a process that aims to enhance a government's ability to...

0 Owen Lo, et al. ∙

∙ 02/07/2022

Ransomware: Analysing the Impact on Windows Active Directory Domain Services

Ransomware has become an increasingly popular type of malware across the...

0 Grant McDonald, et al. ∙

∙ 12/19/2021

Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers

Threat information sharing is considered as one of the proactive defensi...

0 Hisham Ali, et al. ∙

∙ 10/05/2021

Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure

Little or no research has been directed to analysis and researching fore...

0 Edward Henry Young, et al. ∙

∙ 09/17/2021

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS

The continuously advancing digitization has provided answers to the bure...

0 Christos Chrysoulas, et al. ∙

∙ 04/26/2021

Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT

As the internet continues to be populated with new devices and emerging ...

20 Pavlos Papadopoulos, et al. ∙

∙ 04/12/2021

Practical Defences Against Model Inversion Attacks for Split Neural Networks

We describe a threat model under which a split network-based federated l...

0 Tom Titcombe, et al. ∙

∙ 04/01/2021

PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN

We introduce PyVertical, a framework supporting vertical federated learn...

0 Daniele Romanini, et al. ∙

∙ 03/29/2021

Privacy and Trust Redefined in Federated Machine Learning

A common privacy issue in traditional machine learning is that data need...

0 Pavlos Papadopoulos, et al. ∙

∙ 11/18/2020

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning

We present a multi-language, cross-platform, open-source library for asy...

49 Nick Angelou, et al. ∙

∙ 11/18/2020

A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric

Electronic health record (EHR) management systems require the adoption o...

0 Charalampos Stamatellis, et al. ∙

∙ 09/10/2020

Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing

The outbreak of viruses have necessitated contact tracing and infection ...

0 William J Buchanan, et al. ∙

∙ 08/14/2020

Privacy Preserving Passive DNS

The Domain Name System (DNS) was created to resolve the IP addresses of ...

0 Pavlos Papadopoulos, et al. ∙

∙ 06/03/2020

A Distributed Trust Framework for Privacy-Preserving Machine Learning

When training a machine learning model, it is standard procedure for the...

0 Will Abramson, et al. ∙

∙ 05/13/2020

Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach

Phishing is considered to be one of the most prevalent cyber-attacks bec...

0 Orestis Christou, et al. ∙

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