All Outputs (113)

A multi-language toolkit for the semi-automated checking of research outputs (2025)
Journal Article

This article presents a free and open source toolkit that supports the semi-automated checking of research outputs (SACRO) for privacy disclosure within secure data environments. SACRO is a framework that applies best-practice principles-based statis... Read More about A multi-language toolkit for the semi-automated checking of research outputs.

Bioelectrical synchronization of Picea abies during a solar eclipse (2025)
Journal Article

Regular light–dark cycles greatly affect organisms, and events like eclipses induce distinctive physiological and behavioural shifts. While well documented in animals, plant behaviour during eclipses remains largely unexplored. Here, we monitored mul... Read More about Bioelectrical synchronization of Picea abies during a solar eclipse.

Empowering urban transformation: The role of citizen observatories in inclusive and data-driven governance (2025)
Presentation / Conference Contribution

This paper explores how Citizen Observatories can foster participatory, data-driven governance by actively engaging local communities in co-creating urban knowledge and contributing to evidence-based decision-making processes. Within the EU-funded In... Read More about Empowering urban transformation: The role of citizen observatories in inclusive and data-driven governance.

From accuracy to vulnerability: Quantifying the impact of adversarial perturbations on healthcare AI models (2025)
Journal Article

As AI becomes indispensable in healthcare, its vulnerability to adversarial attacks demands serious attention. Even minimal changes to the input data can mislead Deep Learning (DL) models, leading to critical errors in diagnosis and endangering patie... Read More about From accuracy to vulnerability: Quantifying the impact of adversarial perturbations on healthcare AI models.

Entangling with light and shadow: Layers of interaction with the pattern organ, a camera-based wavetable synthesiser (2025)
Presentation / Conference Contribution

This paper explores the design and use of a camera-based digital musical instrument as a thinking tool for considering entangled, post-human perspectives. The design of the pattern organ, inspired by experimental optical sound-on-film practices, empl... Read More about Entangling with light and shadow: Layers of interaction with the pattern organ, a camera-based wavetable synthesiser.

Looping slowly: Diffraction through the lens of nostalgia (2025)
Presentation / Conference Contribution

This paper concerns magnetic tape and the nostalgia of media, finding new relevance in old technology, remaking and adapting practices to fit within a modern workflow. Pushing against the driving force of economic structures, which emphasises a conti... Read More about Looping slowly: Diffraction through the lens of nostalgia.

RetroSketch: A retrospective method for measuring emotions and presence in virtual reality (2025)
Journal Article

Virtual Reality (VR) designers and researchers often need to measure emotions and presence as they evolve over time. The experience sampling method (ESM) is a common way to achieve this, however, ESM disrupts the experience and lacks granularity. We... Read More about RetroSketch: A retrospective method for measuring emotions and presence in virtual reality.

Federated learning meets recursive self-distillation: A scalable malware detection framework for IoVs (2025)
Presentation / Conference Contribution

This paper proposes an integrated approach called FL-RSD, leveraging the key advantages of Federated Learning (FL) and Recursive Self-Distillation (RSD) for malware detection in the Internet of Vehicles (IoV). The proposed FL-RSD framework enhances m... Read More about Federated learning meets recursive self-distillation: A scalable malware detection framework for IoVs.

TRIST: Towards a container-based ICS testbed for cyber threat simulation and anomaly detection (2025)
Presentation / Conference Contribution

Cyber-attacks on Industrial Control Systems (ICS), as exemplified by the incidents at the Maroochy water treatment plant and the Ukraine's electric power grid, have demonstrated that cyber threats can inflict significant physical impacts. These incid... Read More about TRIST: Towards a container-based ICS testbed for cyber threat simulation and anomaly detection.

A flexible software-defined networking-based privacy-preserving method for Internet of Things-based Smart City environment based on the neighbors situation (2025)
Journal Article

We introduce “DPSmartCity,” a context-aware dynamic software-defined networking (SDN) framework that preserves privacy in smart cities. Enhancing the Internet of Things (IoT)-centric infrastructure with dynamic network management, the SDN controller... Read More about A flexible software-defined networking-based privacy-preserving method for Internet of Things-based Smart City environment based on the neighbors situation.

Envisioning a research agenda for input visualization (2025)
Presentation / Conference Contribution

Input visualization — "visual representations that are designed to collect (and represent) new data rather than encode preexisting datasets" [3] — provides a new lens for direct interactions with data through visualizations and physicalizations. In s... Read More about Envisioning a research agenda for input visualization.

Detecting and mitigating anti-forensic techniques: A comprehensive framework for digital investigators (2025)
Presentation / Conference Contribution

The main goal of anti-forensics tools and techniques are to "frustrate" not only the investigators but also the forensic tools used such as Sleuth Kit. Anti-forensics is quite exactly the opposite of Cyber Forensics. These tools affect an investigati... Read More about Detecting and mitigating anti-forensic techniques: A comprehensive framework for digital investigators.

ARUC-GAN: A CycleGAN-based attention residual U-Net for low-dose CT denoising in smart healthcare (2025)
Journal Article

Low-dose computed tomography (LDCT) is increasingly adopted in medical imaging to minimize radiation exposure. However, the diagnostic accuracy is primarily affected by different noise sources, e.g., quantum, electronic, and reconstruction. Moreover,... Read More about ARUC-GAN: A CycleGAN-based attention residual U-Net for low-dose CT denoising in smart healthcare.

Thermal colloid programming (2025)
Journal Article

This paper investigates the computational capabilities of colloidal systems, focusing on the integration of Boolean logic operations within gold nanoparticle suspensions under varying temperature conditions. As climate change, artificial intelligence... Read More about Thermal colloid programming.

Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme (2025)
Journal Article

Fuzzing is a common technique for identifying vulnerabilities in software. Recent approaches, like She et al.’s Multi-Task Fuzzing (MTFuzz), use neural networks to improve fuzzing efficiency. However, key elements like network architecture and hyperp... Read More about Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme.

An explainable ensemble-based intrusion detection system for software-defined vehicle ad-hoc networks (2025)
Journal Article

Intrusion Detection Systems (IDS) are widely employed to detect and mitigate external network security events. Vehicle ad-hoc Networks (VANETs) continue to evolve, especially with developments related to Connected Autonomous Vehicles (CAVs). In this... Read More about An explainable ensemble-based intrusion detection system for software-defined vehicle ad-hoc networks.

Liquid ferrofluid synapses for spike-based neuromorphic learning (2025)
Journal Article

Solid-state memory devices have emerged as promising synapses for neuromorphic engineering and computing. However, features such as limited endurance, static sensitivity, and lower ON/OFF ratios, as well as the need for peculiar conditions including... Read More about Liquid ferrofluid synapses for spike-based neuromorphic learning.

Federated learning in IoT environments: Examining the three-way see-saw for privacy, model-performance, and network-efficiency (2025)
Journal Article

This survey paper provides an in-depth exploration of Federated Learning (FL) in Internet of Things (IoT) environments , focusing on privacy-preserving techniques and their influence on model performance and network efficiency. It highlights key chal... Read More about Federated learning in IoT environments: Examining the three-way see-saw for privacy, model-performance, and network-efficiency.

An integrated approach to mitigate poisoning attacks in federated learning frameworks (2025)
Presentation / Conference Contribution

While Federated learning (FL) is considered privacy-preserving by nature, it remains vulnerable to many attacks, such as data and model poisoning, that compromise data integrity and model accuracy. Conventional privacy-preserving federated learning (... Read More about An integrated approach to mitigate poisoning attacks in federated learning frameworks.

Enhancing public participation in urban planning: The role of VR, HBIM, and gamification (2025)
Presentation / Conference Contribution

The study demonstrates a novel method of urban planning through a col-laborative digital platform that promotes engagement and interaction among people, technicians, and administrators. Utilizing the suggested digital plat-form, the citizen acts as a... Read More about Enhancing public participation in urban planning: The role of VR, HBIM, and gamification.