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The Fraunhofer Institute for Secure Information Technology SIT is one of the leading research and development institutions for cybersecurity in Germany and Europe and is part of ATHENE, the national research center for applied cybersecurity. ATHENE is a cooperation of the Fraunhofer Society with TU Darmstadt, Hochschule Darmstadt, and Goethe University Frankfurt. Our shared goal: to make the world of tomorrow safer.…

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Fraunhofer SIT · SIT - Secure Information Technology

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Master's Thesis: Localisation of Safety Neurones in Text2Image Models

The Fraunhofer Institute for Secure Information Technology SIT is one of the leading research and development institutions for cybersecurity in Germany and Europe and is part of ATHENE, the national research center for applied cybersecurity. ATHENE is a collaboration between the Fraunhofer Society, TU Darmstadt, Hochschule Darmstadt, and Goethe University Frankfurt. Our common goal: to make the world of tomorrow safer. Be part of change LLMs have gained significant attention recently due to their remarkable capabilities. A similar, yet less explored field focuses on text-to-image (T2I) model…

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Master's Thesis: Explainability of Transformer Models in Authorship Verification

Background/Motivation: Authorship verification (AV) is used in areas such as forensics, plagiarism detection, and fake news detection to identify the true author of a text. The goal of authorship verification (AV) is to classify whether two or more texts were written by the same author (Y) or not (N). As in most AI fields today, the most powerful models are usually based on transformer architectures. While these continuously achieve new state-of-the-art results, the application of explainability methods is mostly limited to somewhat older models or architectures. This limits the applicability…

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Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Background/Motivation: For the detection of erotic and pornographic images, models that can recognise human skin, body parts, or scenes are often used. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to images in which erotic poses or partial sections of pornographic scenes can be recognised. Here, poses and facial expressions can be used for classification, among other things [2].…

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Fraunhofer SIT · SIT - Sichere Informationstechnologie

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Studentische Hilfskraft im Bereich Weiterbildungskurse in IT-Forensik und KI-Sicherheit

Im Kompetenzfeld „IT Forensics“ erforschen und entwickeln wir Methoden zur digitalen Spurensuche in IT‑Systemen und im Internet zu verschiedenen Fachthemen: Datenträgeranalyse unter Linux und Windows (Dateisysteme bspw. ext[234]/ NTFS / FAT) Erkennen von Bild-/Video-Manipulationen (z.B. Deepfakes) mittels Deeplearning-Classifiers und traditioneller Multimediaforensik Robuste Hashfunktionen zum Wiedererkennen von Bildern OSINT und Crawling, Social Media und Darknet / Kryptowährungen Machine Learning für Datenanalysen KI-Sicherheit: Angriffe auf Deeplearning (Classifiers, LLMs) und…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Master's Thesis: Localization of Safety Neurons in Text2Image Models

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Master's Thesis: Localisation of Safety Neurones in Text2Image Models

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Studentische Hilfskraft im Bereich Weiterbildungskurse in IT-Forensik und KI-Sicherheit