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Tamp-X: Attacking explainable natural language classifiers through tampered activations
Published 2022“…Recently Explainable Artificial Intelligence (XAI) methods have been proposed as a method for increasing DNN’s reliability and trustworthiness. These XAI methods are however open to attack and can be manipulated in both white-box (gradient-based) and black-box (perturbation-based) scenarios. …”
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The use of multi-task learning in cybersecurity applications: a systematic literature review
Published 2024“…<p dir="ltr">Cybersecurity is crucial in today’s interconnected world, as digital technologies are increasingly used in various sectors. The risk of cyberattacks targeting financial, military, and political systems has increased due to the wide use of technology. …”
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 2024“…Despite its importance, the constantly increasing search space of high-dimensional datasets poses significant challenges to FS methods, including issues like the "curse of dimensionality," susceptibility to local optima, and high computational and memory costs. …”
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Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Published 2023“…<p>There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. …”
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Integration of Smart Sensors in Buildings to achieve Energy Efficiency in Hot and Humid Climate
Published 2021“…Most of the current buildings nowadays were built prior the evolution of significant technological advancements such as the internet of things (IoT). …”
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