Portfolio

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Publications

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

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Practical Defences Against Model Inversion Attacks for Split Neural Networks

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Privacy and Trust Redefined in Federated Machine Learning

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A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric

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Privacy-Preserving Passive DNS

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Publication Links

• PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
• Practical Defences Against Model Inversion Attacks for Split Neural Networks
• Privacy and Trust Redefined in Federated Machine Learning
• A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric
• Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
• Privacy-Preserving Passive DNS
• Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing
• A Distributed Trust Framework for Privacy Preserving Machine Learning
• Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach

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