Publications associées (69)

Safe Deep Neural Networks

Kyle Michael Matoba

				The capabilities of deep learning systems have advanced much faster than our ability to understand them. Whilst the gains from deep neural networks (DNNs) are significant, they are accompanied by a growing risk and gravity of a bad outcome. This is tr ...
EPFL2024

Safety climate in university laboratories. Part II: a critical view on the role of safety education in academia

Thierry Meyer, Anastasia Jung

This paper explores safety climate as a phenomenon. Comparative analyses of the survey designed and distributed among European universities with a study published in 2013 demonstrating that safety climate studies targeting respondents with supervisory posi ...
2023

Safety risk management in University laboratories

Anastasia Jung

Risk management has become an essential element in the functioning of modern society. Correct risk identification and assessment are undoubtedly crucial to improving overall safety; nevertheless, often, it is accompanied by the wrong selection of correcti ...
EPFL2023

Metamodel for Safety Risk Management of Medical Devices Based on ISO 14971

Mihai Adrian Ionescu, David Atienza Alonso

The integration of information technologies into medical systems has led to an increase in digitalization, which results in enormous possibilities, but also challenges in system development. The ever-growing complexity of modern medical devices (MD) requir ...
2023

Safety climate in university laboratories. Part I: model development and practical application

Thierry Meyer, Anastasia Jung

Safety climate assessment has become a regular practice for most organisations. However, it is often limited to questionnaires, providing only qualitative information. The indicator-based approach takes precedence over decision-making, and practical risk a ...
2023

Quantum-based approach for laboratory risk assessment and decision-making

Ruoxing Liao

With the rising focus on academic safety, there has been an effort to improve the academic safety climate and develop lab-specific risk assessment tools. Despite the progress made in recent years, there is still a deficit of reliable data statistics on saf ...
2022

Deep Learning Detection of GPS Spoofing

Mirjana Stojilovic, Olivia Jullian Parra

Unmanned aerial vehicles (UAVs) are widely deployed in air navigation, where numerous applications use them for safety-of-life and positioning, navigation, and timing tasks. Consequently, GPS spoofing attacks are more and more frequent. The aim of this wor ...
Springer, Cham2022

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