Tamás Bisztray

26 papers B 1Misc 2Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs Towards CWE Detection. TASE Richard A. Dubniczky, Krisztofer Zoltán Horvát, Tamás Bisztray, Mohamed Amine Ferrag, Lucas C. Cordeiro, Norbert Tihanyi
2025	J	`jnl`	CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection. CoRR Richard A. Dubniczky, Krisztofer Zoltán Horvát, Tamás Bisztray, Mohamed Amine Ferrag, Lucas C. Cordeiro, Norbert Tihanyi
2025	—	`conf`	DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response. ICONIP (1) Bilel Cherif, Tamás Bisztray, Richard A. Dubniczky, Aaesha Aldahmani, Saeed Alshehhi, Norbert Tihanyi
2025	J	`jnl`	DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response. CoRR Bilel Cherif, Tamás Bisztray, Richard A. Dubniczky, Aaesha Aldahmani, Saeed Alshehhi, Norbert Tihanyi
2025	J	`jnl`	Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection. CoRR Ryan Marinelli, Josef Pichlmeier, Tamás Bisztray
2025	J	`jnl`	How secure is AI-generated code: a large-scale comparison of large language models. Empir. Softw. Eng. Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Ridhi Jain, Lucas C. Cordeiro
2025	—	`conf`	I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution. AISec@CCS Tamás Bisztray, Bilel Cherif, Richard A. Dubniczky, Nils Gruschka, Bertalan Borsos, Mohamed Amine Ferrag, Attila Kovács, Vasileios Mavroeidis, Norbert Tihanyi
2025	J	`jnl`	I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution. CoRR Tamás Bisztray, Bilel Cherif, Richard A. Dubniczky, Nils Gruschka, Bertalan Borsos, Mohamed Amine Ferrag, Attila Kovács, Vasileios Mavroeidis, Norbert Tihanyi
2025	J	`jnl`	The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution. CoRR Norbert Tihanyi, Bilel Cherif, Richard A. Dubniczky, Mohamed Amine Ferrag, Tamás Bisztray
2025	J	`jnl`	Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview. CoRR Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Bilel Cherif, Richard A. Dubniczky, Ridhi Jain, Lucas C. Cordeiro
2024	Misc	`conf`	CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge. CSR Norbert Tihanyi, Mohamed Amine Ferrag, Ridhi Jain, Tamás Bisztray, Mérouane Debbah
2024	J	`jnl`	Do Neutral Prompts Produce Insecure Code? FormAI-v2 Dataset: Labelling Vulnerabilities in Code Generated by Large Language Models. CoRR Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Ridhi Jain, Lucas C. Cordeiro
2024	B	`conf`	Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence. IEEE Big Data Norbert Tihanyi, Tamás Bisztray, Richard A. Dubniczky, Rebeka Tóth, Bertalan Borsos, Bilel Cherif, Ridhi Jain, Lajos Muzsai, Mohamed Amine Ferrag, Ryan Marinelli, Lucas C. Cordeiro, Mérouane Debbah, Vasileios Mavroeidis, Audun Jøsang
2024	J	`jnl`	Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence. CoRR Norbert Tihanyi, Tamás Bisztray, Richard A. Dubniczky, Rebeka Tóth, Bertalan Borsos, Bilel Cherif, Mohamed Amine Ferrag, Lajos Muzsai, Ridhi Jain, Ryan Marinelli, Lucas C. Cordeiro, Mérouane Debbah
2024	—	`conf`	LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations. SAFECOMP (Workshops) Rebeka Tóth, Tamás Bisztray, László Erdodi
2024	J	`jnl`	LLMs in Web-Development: Evaluating LLM-Generated PHP code unveiling vulnerabilities and limitations. CoRR Rebeka Tóth, Tamás Bisztray, László Erdodi
2024	J	`jnl`	Privacy-Preserving Password Cracking: How a Third Party Can Crack Our Password Hash Without Learning the Hash Value or the Cleartext. IEEE Trans. Inf. Forensics Secur. Norbert Tihanyi, Tamás Bisztray, Bertalan Borsos, Sebastien Raveau
2023	—	`—`	Investigating Privacy Aspects of Identity Management: From Data Protection Impact Assessment for Biometric Applications to Privacy-Centric Password Testing. Tamás Bisztray
2023	J	`jnl`	Privacy-Preserving Password Cracking: How a Third Party Can Crack Our Password Hash Without Learning the Hash Value or the Cleartext. CoRR Norbert Tihanyi, Tamás Bisztray, Bertalan Borsos, Sebastien Raveau
2023	J	`jnl`	The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification. CoRR Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis
2023	—	`conf`	The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification. PROMISE Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis
2022	J	`jnl`	Emerging Biometric Modalities and their Use: Loopholes in the Terminology of the GDPR and Resulting Privacy Risks. CoRR Tamás Bisztray, Nils Gruschka, Thirimachos Bourlai, Lothar Fritsch
2021	—	`conf`	Emerging biometric modalities and their use: Loopholes in the terminology of the GDPR and resulting privacy risks. BIOSIG Tamás Bisztray, Nils Gruschka, Thirimachos Bourlai, Lothar Fritsch
2021	J	`jnl`	Privacy Impact Assessment: Comparing methodologies with a focus on practicality. CoRR Tamás Bisztray, Nils Gruschka
2020	—	`conf`	Data Protection Impact Assessment in Identity Control Management with a Focus on Biometrics. Open Identity Summit Tamás Bisztray, Nils Gruschka, Vasileios Mavroeidis, Lothar Fritsch
2019	—	`conf`	Privacy Impact Assessment: Comparing Methodologies with a Focus on Practicality. NordSec Tamás Bisztray, Nils Gruschka