TAS-S: Trustworthy Autonomous Systems Node in Security

Project: Research

Description

The ability to effectively conduct a mission with varied levels of “absence of human intervention” including completely unsupervised operations, broadly categorises autonomous systems. Typical examples, spanning an ever growing diversity of civilian, industrial and military applications across terrestrial, aerial and aquatic environments include autonomous vehicles, industrial automation, assisted living and a variety of logistical support to complement and supplement societal needs.

Status	Active
Effective start/end date	1/11/20 → 31/10/24
Links	https://tas-security.lancs.ac.uk/

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
Understanding the confounding factors of inter-domain routing modeling
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
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models.
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
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
Security-Minded Verification of Cooperative Awareness Messages
Research output: Contribution to Journal/Magazine › Journal article › peer-review

Research