Výsledky vyhledávání - "Schaad, Andreas"

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'You still have to study' -- On the Security of LLM generated code

We witness an increasing usage of AI-assistants even for routine (classroom) programming tasks. However, the code generated on basis of a so called "prompt" by the programmer does not always meet accepted security standards. On the one hand, this may

Externí odkaz: http://arxiv.org/abs/2408.07106

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Deep-Learning-based Vulnerability Detection in Binary Executables

Autor: Schaad, Andreas, Binder, Dominik

The identification of vulnerabilities is an important element in the software development life cycle to ensure the security of software. While vulnerability identification based on the source code is a well studied field, the identification of vulner

Externí odkaz: http://arxiv.org/abs/2212.01254

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Creation and Detection of German Voice Deepfakes

Autor: Barnekow, Vanessa, Binder, Dominik, Kromrey, Niclas, Munaretto, Pascal, Schaad, Andreas, Schmieder, Felix

Synthesizing voice with the help of machine learning techniques has made rapid progress over the last years [1] and first high profile fraud cases have been recently reported [2]. Given the current increase in using conferencing tools for online teac

Externí odkaz: http://arxiv.org/abs/2108.01469

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Akademický článek

Model-driven business process security requirement specification

Autor: Wolter, Christian, Menzel, Michael, Schaad, Andreas, Miseldine, Philip, Meinel, Christoph

Publikováno v: In Journal of Systems Architecture 2009 55(4):211-223

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Project OVVL – Threat Modeling Support for the entire secure development lifecycle

Autor: Schaad, Andreas

OVVL (the Open Weakness and Vulnerability Modeller) is a tool and methodology to support threat modeling in the early stages of the secure software development lifecycle. We provide an overview of OVVL (https://ovvl.org), its data model and browser-b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8a669f5b1fad8e74ad14d587b930c19f

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