Outputs (166)

ProxiMix: Enhancing fairness with proximity samples in subgroups (2024)
Presentation / Conference Contribution

Many bias mitigation methods have been developed for addressing fairness issues in machine learning. We have found that using linear mixup alone, a data augmentation technique, for bias mitigation, can still retain biases present in dataset labels. R... Read More about ProxiMix: Enhancing fairness with proximity samples in subgroups.

Exploring AES encryption implementation through quantum computing techniques (2024)
Journal Article

A coming great revolution in technology is quantum computing, which opens new attacks on most of the developed cryptographic algorithms, including AES. These emerging quantum capabilities risk weakening cryptographic techniques, which safeguard a vas... Read More about Exploring AES encryption implementation through quantum computing techniques.

Perception and trust in autonomous vehicles post cyber security incidents (2024)
Journal Article

The integration of Autonomous Vehicles (AVs) into modern systems of transportation brings with it a new and transformative era. Central to the successful realisation of this transformation is the public’s trust in these vehicles and their safety, par... Read More about Perception and trust in autonomous vehicles post cyber security incidents.

Fungi as Turing automata with oracles (2024)
Journal Article

In the article, we aim to understand the responses of living organisms, exemplified by mycelium, to external stimuli through the lens of a Turing machine with an oracle (oTM). To facilitate our exploration, we show that a variant of an oTM is a cellu... Read More about Fungi as Turing automata with oracles.

A lightweight integrity-driven federated learning approach to mitigate poisoning attacks in IoT (2024)
Presentation / Conference Contribution

Despite its distributed nature and being privacy-preserving by nature, Federated Learning (FL) is vulnerable to poisoning attacks in which malicious actors can inject fake model parameters or false data to compromise the learning process. This articl... Read More about A lightweight integrity-driven federated learning approach to mitigate poisoning attacks in IoT.

Assuring correctness, testing, and verification of x-compiler by integrating communicating stream x-machine (2024)
Presentation / Conference Contribution

Compiler design plays an important role in ensuring that the translation of the programs written in high-level language into executable code is correct. However, in todays’ safety-critical environments, security gaps, visible and hidden defects in co... Read More about Assuring correctness, testing, and verification of x-compiler by integrating communicating stream x-machine.

A novel hybrid framework for realistic UAV detection using a mixed RF signal database (2024)
Presentation / Conference Contribution

Advances in Unmanned Aerial Vehicles (UAVs) empower a plethora of applications but also raise significant security and privacy challenges. Effective UAVs detection systems are crucial for mitigating these risks. This paper deals with this problem and... Read More about A novel hybrid framework for realistic UAV detection using a mixed RF signal database.

On recombination (2024)
Journal Article

The predominant explanations for the inclusion of chromosomal recombination during meiosis are either that it serves as a mechanism for repair or for increased adaptability. However, neither gives a clear immediate selective advantage to the reproduc... Read More about On recombination.

A risk assessment analysis to enhance the security of OT WAN with SD-WAN (2024)
Journal Article

This paper introduces a comprehensive risk assessment of various wide area network (WAN) technologies as applied to Operational Technology (OT) infrastructures, thus uncovering which WAN technology is best suited for OT to mitigate the risks of Denia... Read More about A risk assessment analysis to enhance the security of OT WAN with SD-WAN.

The effects of omeprazole on the neuron-like spiking of the electrical potential of proteinoid microspheres (2024)
Journal Article

This study examines a new approach to hybrid neuromorphic devices by studying the impact of omeprazole–proteinoid complexes on Izhikevich neuron models. We investigate the influence of these metabolic structures on five specific patterns of neuronal... Read More about The effects of omeprazole on the neuron-like spiking of the electrical potential of proteinoid microspheres.