Joshua Andrews

Ryan Bevin

Alperen Bolat

Publications

• SOC Accelerator Communication Overhead: Impact of Cache, Data Size and Communication Handling
  December 2024 | Poster
• An investigation of machine learning algorithms for high-bandwidth SQL injection detection utilising BlueField-3 DPU technology
  September 2023 | Conference contribution
• Investigation of communication overhead of SoC lookaside accelerators
  September 2023 | Conference contribution
• DEV-PIM: dynamic execution validation with processing-in-memory
  July 2023 | Conference contribution

Niall Canavan

Publications

• Cascade error correction attack; exploiting implicit and side channel information leakage
  January 2025 | Conference contribution

Ngoc Phu Doan

Publications

• InteDisUX: intepretation-guided discriminative user-centric explanation for time series
  April 2025 | Conference contribution
• DeepPUFSCA: deep learning for physical unclonable function attack based on side channel analysis support
  February 2025 | Conference contribution
• Reconstructing suspended sediment concentrations in the Mekong River Basin via semi-supervised-based deep neural networks
  December 2024 | Article
• WaveletMixer: a multi-resolution wavelets based MLP-mixer for multivariate long-term time series forecasting
  December 2024 | Paper

Nikolaos Georgantas

Ryan McGaughey

Publications

• A wolf in sheep’s clothing: evading robust aggregation in federated learning through in-distribution attacks
  October 2024 | Conference contribution

Mark Megarry

Publications

• Understanding the security implications in O-RAN with abusive adversaries
  July 2024 | Conference contribution
• Quasi-omnidirectional millimetre wave 5G handset antenna
  May 2023 | Conference contribution
• Effect of left-handed grip on coverage of quasi-omnidirectional millimetre wave 5G handset antenna
  May 2023 | Conference contribution

Tuan Dung Pham

Publications

• InteDisUX: intepretation-guided discriminative user-centric explanation for time series
  April 2025 | Conference contribution
• DeepPUFSCA: deep learning for physical unclonable function attack based on side channel analysis support
  February 2025 | Conference contribution
• Preserving spatial-temporal relationship with adaptive node sampling in hierarchical dynamic graph transformers
  January 2025 | Conference contribution
• Reconstructing suspended sediment concentrations in the Mekong River Basin via semi-supervised-based deep neural networks
  December 2024 | Article
• WaveletMixer: a multi-resolution wavelets based MLP-mixer for multivariate long-term time series forecasting
  December 2024 | Paper
• Deep learning enhanced side channel analysis on CRYSTALS-Kyber
  May 2024 | Conference contribution

Matthew Reaney

Publications

• Network intrusion response using deep reinforcement learning in an aircraft IT-OT scenario
  July 2024 | Conference contribution

Nathan Ross

Publications

• PEVuln: a benchmark dataset for using machine learning to detect vulnerabilities in PE malware
  February 2025 | Conference contribution

Zain Shabbir

An Truong To

Publications

• LoRa radio frequency fingerprinting identification using a hybrid quantum-classical neural network
  November 2024 | Conference contribution

Fayzuddin Topu