Projects (6)

Evaluation of Federated Machine Unlearning using Membership Inference Attacks Oct 1, 2023 - Sep 30, 2026
Federated Learning (FL) is a type of distributed Machine Learning (ML) training technique that allows for accurate predictions without sharing sensitive data. This is possible, as FL allows everyone to train their own localised model and only share t... Read More about Evaluation of Federated Machine Unlearning using Membership Inference Attacks.

Behaviour profiling using Touch-based Behavioural Biometrics for Continuous Authentication Systems May 9, 2022 - Jul 31, 2022
Authenticating smartphone users from distinct behavioural biometric patterns provided through human interactions on touch screens would allow users to be continuously authenticated on their devices while protecting them from unauthorised use. More im... Read More about Behaviour profiling using Touch-based Behavioural Biometrics for Continuous Authentication Systems.

Divulging the Secrets of Artificial Intelligence Apr 1, 2022 - Oct 31, 2022
Digital Infrastructures are complex systems that are built upon computing and communication hardware, and whose resilience is undermined by the security of its hardware building blocks, which has not received much consideration in the past. A focus o... Read More about Divulging the Secrets of Artificial Intelligence.

Security and Privacy in Vehicular Ad-hoc Networks Mar 1, 2022 - Sep 30, 2024
The great leap forward in wireless communications technology drives the recent advancements of Vehicular Ad hoc NETworks (VANETs). As a key part of the Intelligent Transportation Systems (ITS) framework, VANETs offer active road safety, and traffic e... Read More about Security and Privacy in Vehicular Ad-hoc Networks.

Repairing Polluted Artificial Intelligent Systems with Machine Unlearning Dec 1, 2019 - Jul 31, 2021
This project is intended to seek in-depth understanding of the new promising decentralised machine learning scheme, namely federated learning, and develop a proof-of-concept algorithm-independent unlearning scheme for federated learning. Our new mach... Read More about Repairing Polluted Artificial Intelligent Systems with Machine Unlearning.

MemoryCrypt Sep 1, 2019 - Feb 29, 2020
The usage of encryption keys is an important aspect in preserving privacy in communications. Increasingly these communications are protected using SSL/TLS methods. Along with this, there is a general move towards using virtualised infrastructures for... Read More about MemoryCrypt.