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Prof Amir Hussain

Professor
School of Computing Engineering and the Built Environment

A.Hussain@napier.ac.uk

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Machine Un-learning: An Overview of Techniques, Applications, and Future Directions

Journal Article

Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., …Hussain, A. (2024)

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-10219-3

ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. Howev...

STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation

Journal Article

Fang, M., Yu, L., Xie, H., Tan, Q., Tan, Z., Hussain, A., …Tian, Z. (in press)

STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation. IEEE Transactions on Computational Social Systems, https://doi.org/10.1109/tcss.2024.3356549

The impressive development of facial manipulation techniques has raised severe public concerns. Identity-aware methods, especially suitable for protecting celebrities, are see...

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Cross-lingual Audio-visual Speech Enhancement based on Deep Multimodal Learning

Speech enhancement and separation techniques are often used to improve the quality and intelligibility of speech degraded by background distractions, including speech and non-speech noises. We aim to ...

Funder: Royal Society of Edinburgh | Value: £12,000

Security and Privacy in Vehicular Ad-hoc Networks

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) framewo...

Funder: Royal Society | Value: £12,000

Evaluation of Federated Machine Unlearning using Membership Inference Attacks

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 t...

Funder: Carnegie Trust for the Universities of Scotland | Value: £73,564

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