Search Results - "Bisztray, Tamás"

Privacy-Preserving Password Cracking: How a Third Party can Crack our Password Hash Without Learning the Hash Value or the Cleartext by Tihanyi, Norbert, Bisztray, Tamas, Borsos, Bertalan, Raveau, Sebastien

“…Using the computational resources of an untrusted third party to crack a password hash can pose a high number of privacy and security risks. The act of…”
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The Suboptimal QLV Ratio May Indicate the Need for a Left Bundle Branch Area Pacing-Optimized Cardiac Resynchronization Therapy Upgrade by Ezer, Péter, Szűcs, Kitti, Lukács, Réka, Bisztray, Tamás, Vilmányi, Gábor, Szokodi, István, Komócsi, András, Kónyi, Attila

“…: The QLV ratio (QLV/baseline QRS width) is an established intraoperative-measurable parameter during cardiac resynchronization therapy (CRT) device…”
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Privacy Impact Assessment: Comparing methodologies with a focus on practicality by Bisztray, Tamas, Gruschka, Nils

“…NordSec 2019. Lecture Notes in Computer Science, vol 11875. Springer, Cham Privacy and data protection have become more and more important in recent years…”
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LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations by Tóth, Rebeka, Bisztray, Tamas, Erdodi, László

“…This study evaluates the security of web application code generated by Large Language Models, analyzing 2,500 GPT-4 generated PHP websites. These were deployed…”
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Privacy-Preserving Password Cracking: How a Third Party Can Crack Our Password Hash Without Learning the Hash Value or the Cleartext by Tihanyi, Norbert, Bisztray, Tamas, Borsos, Bertalan, Raveau, Sebastien

“…Using the computational resources of an untrusted third party to crack a password hash can pose a high number of privacy and security risks. The act of…”
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CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge by Tihanyi, Norbert, Ferrag, Mohamed Amine, Jain, Ridhi, Bisztray, Tamas, Debbah, Merouane

“…Large Language Models (LLMs) are increasingly used across various domains, from software development to cyber threat intelligence. Understanding all the…”
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Emerging Biometric Modalities and their Use: Loopholes in the Terminology of the GDPR and Resulting Privacy Risks by Bisztray, Tamas, Gruschka, Nils, Bourlai, Thirimachos, Fritsch, Lothar

“…2021 International Conference of the Biometrics Special Interest Group (BIOSIG), 2021, pp. 1-5, Technological advancements allow biometric applications to be…”
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Do Neutral Prompts Produce Insecure Code? FormAI-v2 Dataset: Labelling Vulnerabilities in Code Generated by Large Language Models by Tihanyi, Norbert, Bisztray, Tamas, Ferrag, Mohamed Amine, Jain, Ridhi, Cordeiro, Lucas C

“…This study provides a comparative analysis of state-of-the-art large language models (LLMs), analyzing how likely they generate vulnerabilities when writing…”
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The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification by Tihanyi, Norbert, Bisztray, Tamas, Jain, Ridhi, Ferrag, Mohamed Amine, Cordeiro, Lucas C, Mavroeidis, Vasileios

“…PROMISE 2023: Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering December 2023 Pages 33 to 43…”
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Emerging Biometric Modalities and their Use: Loopholes in the Terminology of the GDPR and Resulting Privacy Risks by Bisztray, Tamas, Gruschka, Nils, Bourlai, Thirimachos, Fritsch, Lothar

“…Technological advancements allow biometric applications to be more omnipresent than in any other time before. This paper argues that in the current EU data…”
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CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge by Tihanyi, Norbert, Ferrag, Mohamed Amine, Jain, Ridhi, Bisztray, Tamas, Debbah, Merouane

“…Large Language Models (LLMs) are increasingly used across various domains, from software development to cyber threat intelligence. Understanding all the…”
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Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence by Tihanyi, Norbert, Bisztray, Tamas, Dubniczky, Richard A, Toth, Rebeka, Borsos, Bertalan, Cherif, Bilel, Ferrag, Mohamed Amine, Muzsai, Lajos, Jain, Ridhi, Marinelli, Ryan, Cordeiro, Lucas C, Debbah, Merouane

“…As machine intelligence evolves, the need to test and compare the problem-solving abilities of different AI models grows. However, current benchmarks are often…”
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