Organisation: Trustworthy Software (TruX)

  • News

    Guarding the digital world: meet Jordan

    Meet Jordan: now a research scientist in Luxembourg, Jordan builds sophisticated tools to analyse software for vulnerabilities and malicious code.

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  • Research Projects Pages

    Bringing Automation in Security Operations Center (ASOC)

    A partnership project in collaboration with the Cyber-Defence Campus and Armasuisse to automate Security Operation Centers.

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  • Core Research Projects

    Bringing Automation in Security Operations Center (ASOC)

    The ASOC project project is an innovative research initiative aimed at transforming the operational dynamics of SOCs through the integration of automation technologies.

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  • Research Projects Pages

    Natural Language Processing for Financial Sector (BGL)

    This research explores the use of Natural Language Processing, AI, and Intelligent Conversation technologies to enhance automation in the financial sector.

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  • Core Research Projects

    Natural Language Processing for Financial Sector

    This research explores the use of Natural Language Processing, AI, and Intelligent Conversation technologies to enhance automation in the financial sector.

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  • Research Projects Pages

    Explainable psychometric AI for HR decision support (AI4HR)

    The AI4HR project aims to revolutionise human resource management by harnessing artificial intelligence to streamline recruitment, enhance talent development, and elevate employee engagement. The primary goals are: (1) to integrate AI-driven data analytics into HR processes, enabling the extraction of actionable insights from complex candidate and employee data; (2) to develop advanced algorithms that optimise…

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  • Core Research Projects

    Explainable psychometric AI for HR decision support (AI4HR)

    AI4HR is a pioneering project aimed at integrating explainable AI with psychometrics and multilingual capabilities to improve HR decision making and leadership

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  • Research Projects Pages

    Pre and Post Processing for Comprehensive and Practical Android App Static Analysis (REPROCESS)

    The REPROCESS project aims to improve Android app security by enhancing static analysis, reducing both false positives and false negatives.

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  • Core Research Projects

    Pre & Post Processing for Comprehensive and Practical Android App Static Analysis (REPROCESS)

    The REPROCESS project aims to improve Android app security by enhancing static analysis, reducing both false positives and false negatives.

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  • Research Projects Pages

    Breaking the Barriers of Android Dynamic Analysis with Static Analysis (UNLOCK)

    The UNLOCK project aims to utilise static analysis methods to overcome the limitations of dynamic analysis on the Android platform.

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