TAS-S: Trustworthy Autonomous Systems Node in Security

Project: Research

Status	Active
Effective start/end date	1/11/20 → 31/10/24

Funding

EPSRC: £1,422,171.35
EPSRC: £39,900.77
EPSRC: £19,797.58
EPSRC: £342,072.30

May-Chahal, Corinne (Co-Investigator)
Deville, Joe (Co-Investigator)
Suri, Neeraj (Principal Investigator)
Angelov, Plamen (Co-Investigator)
Giotsas, Vasileios (Co-Investigator)
Easton, Catherine (Co-Investigator)
Hutchison, David (Co-Investigator)

Facilities/Equipment

High End Computing cluster (HEC)
Facility/Equipment: Facility

Research outputs

Fast Kernel Error Propagation Analysis in Virtualized Environments
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
RADNN: ROBUST TO IMPERCEPTIBLE ADVERSARIAL ATTACKS DEEP NEURAL NETWORK
Research output: Contribution to Journal/Magazine › Journal article
Challenges in Identifying Network Attacks Using Netflow Data
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
SlowCoach: Mutating Code to Simulate Performance Bugs
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
A Survey of Log-Correlation Tools for Failure Diagnosis and Prediction in Cluster Systems
Research output: Contribution to Journal/Magazine › Journal article › peer-review
PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Towards Effective Performance Fuzzing
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Understanding the confounding factors of inter-domain routing modeling
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Fuzzy Detectors Against Adversarial Attacks
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Research

TAS-S: Trustworthy Autonomous Systems Node in Security

Funding

Facilities/Equipment

High End Computing cluster (HEC)

Research outputs

Fast Kernel Error Propagation Analysis in Virtualized Environments

RADNN: ROBUST TO IMPERCEPTIBLE ADVERSARIAL ATTACKS DEEP NEURAL NETWORK

Challenges in Identifying Network Attacks Using Netflow Data

SlowCoach: Mutating Code to Simulate Performance Bugs

Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks

A Survey of Log-Correlation Tools for Failure Diagnosis and Prediction in Cluster Systems

PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework

Towards Effective Performance Fuzzing

PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models.

Understanding the confounding factors of inter-domain routing modeling

Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection

Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace

Fuzzy Detectors Against Adversarial Attacks

Quick Links

Connect With Us

Faculties & Depts

Contact Us