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pro vyhledávání: '"Holz, Thorsten"'
Large language models (LLMs) have shown great potential for automatic code generation and form the basis for various tools such as GitHub Copilot. However, recent studies highlight that many LLM-generated code contains serious security vulnerabilitie
Externí odkaz:
http://arxiv.org/abs/2409.06446
A recent trend towards running more demanding web applications, such as video games or client-side LLMs, in the browser has led to the adoption of the WebGPU standard that provides a cross-platform API exposing the GPU to websites. This opens up a ne
Externí odkaz:
http://arxiv.org/abs/2409.01824
Network-facing applications are commonly exposed to all kinds of attacks, especially when connected to the internet. As a result, web servers like Nginx or client applications such as curl make every effort to secure and harden their code to rule out
Externí odkaz:
http://arxiv.org/abs/2409.01059
Autor:
Schloegel, Moritz, Bars, Nils, Schiller, Nico, Bernhard, Lukas, Scharnowski, Tobias, Crump, Addison, Ebrahim, Arash Ale, Bissantz, Nicolai, Muench, Marius, Holz, Thorsten
Fuzzing has proven to be a highly effective approach to uncover software bugs over the past decade. After AFL popularized the groundbreaking concept of lightweight coverage feedback, the field of fuzzing has seen a vast amount of scientific work prop
Externí odkaz:
http://arxiv.org/abs/2405.10220
Recent advances in the field of generative artificial intelligence (AI) have blurred the lines between authentic and machine-generated content, making it almost impossible for humans to distinguish between such media. One notable consequence is the u
Externí odkaz:
http://arxiv.org/abs/2404.14244
Autor:
Frank, Joel, Herbert, Franziska, Ricker, Jonas, Schönherr, Lea, Eisenhofer, Thorsten, Fischer, Asja, Dürmuth, Markus, Holz, Thorsten
AI-generated media has become a threat to our digital society as we know it. These forgeries can be created automatically and on a large scale based on publicly available technology. Recognizing this challenge, academics and practitioners have propos
Externí odkaz:
http://arxiv.org/abs/2312.05976
Autor:
Rodler, Michael, Paaßen, David, Li, Wenting, Bernhard, Lukas, Holz, Thorsten, Karame, Ghassan, Davi, Lucas
Smart contracts are increasingly being used to manage large numbers of high-value cryptocurrency accounts. There is a strong demand for automated, efficient, and comprehensive methods to detect security vulnerabilities in a given contract. While the
Externí odkaz:
http://arxiv.org/abs/2304.06341
Autor:
Eisenhofer, Thorsten, Quiring, Erwin, Möller, Jonas, Riepel, Doreen, Holz, Thorsten, Rieck, Konrad
The number of papers submitted to academic conferences is steadily rising in many scientific disciplines. To handle this growth, systems for automatic paper-reviewer assignments are increasingly used during the reviewing process. These systems use st
Externí odkaz:
http://arxiv.org/abs/2303.14443
Autor:
Greshake, Kai, Abdelnabi, Sahar, Mishra, Shailesh, Endres, Christoph, Holz, Thorsten, Fritz, Mario
Large Language Models (LLMs) are increasingly being integrated into various applications. The functionalities of recent LLMs can be flexibly modulated via natural language prompts. This renders them susceptible to targeted adversarial prompting, e.g.
Externí odkaz:
http://arxiv.org/abs/2302.12173
Large language models (LLMs) for automatic code generation have achieved breakthroughs in several programming tasks. Their advances in competition-level programming problems have made them an essential pillar of AI-assisted pair programming, and tool
Externí odkaz:
http://arxiv.org/abs/2302.04012