Tamás Bisztray

According to our database, Tamás Bisztray authored at least 20 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution.

Norbert Tihanyi, Bilel Cherif, Richard A. Dubniczky, Mohamed Amine Ferrag, Tamás Bisztray

CoRR, October, 2025

How secure is AI-generated code: a large-scale comparison of large language models.

Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Ridhi Jain, Lucas C. Cordeiro

Empir. Softw. Eng., March, 2025

Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection.

Ryan Marinelli, Josef Pichlmeier, Tamás Bisztray

CoRR, March, 2025

Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview.

Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Bilel Cherif, Richard A. Dubniczky, Ridhi Jain, Lucas C. Cordeiro

CoRR, March, 2025

Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities.

Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Ayman Battah, Bilel Cherif, Abdechakour Mechri, Norbert Tihanyi, Tamás Bisztray, Mérouane Debbah

Internet Things Cyber Phys. Syst., 2025

CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs Towards CWE Detection.

Richard A. Dubniczky, Krisztofer Zoltán Horvát, Tamás Bisztray, Mohamed Amine Ferrag, Lucas C. Cordeiro, Norbert Tihanyi

Proceedings of the Theoretical Aspects of Software Engineering, 2025

DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response.

Bilel Cherif, Tamás Bisztray, Richard A. Dubniczky, Aaesha Aldahmani, Saeed Alshehhi, Norbert Tihanyi

Proceedings of the Neural Information Processing - 32nd International Conference, 2025

I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution.

Tamás Bisztray, Bilel Cherif, Richard A. Dubniczky, Nils Gruschka, Bertalan Borsos, Mohamed Amine Ferrag, Attila Kovács, Vasileios Mavroeidis, Norbert Tihanyi

Proceedings of the 18th ACM Workshop on Artificial Intelligence and Security, 2025

2024

Privacy-Preserving Password Cracking: How a Third Party Can Crack Our Password Hash Without Learning the Hash Value or the Cleartext.

Norbert Tihanyi, Tamás Bisztray, Bertalan Borsos, Sebastien Raveau

IEEE Trans. Inf. Forensics Secur., 2024

Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence.

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

CoRR, 2024

Do Neutral Prompts Produce Insecure Code? FormAI-v2 Dataset: Labelling Vulnerabilities in Code Generated by Large Language Models.

Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Ridhi Jain, Lucas C. Cordeiro

CoRR, 2024

LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations.

Rebeka Tóth, Tamás Bisztray, László Erdodi

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2024 Workshops, 2024

CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge.

Norbert Tihanyi, Mohamed Amine Ferrag, Ridhi Jain, Tamás Bisztray, Mérouane Debbah

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence.

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

Proceedings of the IEEE International Conference on Big Data, 2024

2023

FormAI Dataset: A Large Collection of AI-Generated C Programs and Their Vulnerability Classifications.

Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis

Dataset, September, 2023

Investigating Privacy Aspects of Identity Management: From Data Protection Impact Assessment for Biometric Applications to Privacy-Centric Password Testing.

Tamás Bisztray

PhD thesis, 2023

The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification.

Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis

Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, 2023

2021

Emerging biometric modalities and their use: Loopholes in the terminology of the GDPR and resulting privacy risks.

Tamás Bisztray, Nils Gruschka, Thirimachos Bourlai, Lothar Fritsch

Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021

2020

Data Protection Impact Assessment in Identity Control Management with a Focus on Biometrics.

Tamás Bisztray, Nils Gruschka, Vasileios Mavroeidis, Lothar Fritsch

Proceedings of the Open Identity Summit 2020, 26-27 May, 2020, Copenhagen, Denmark., 2020

2019

Privacy Impact Assessment: Comparing Methodologies with a Focus on Practicality.

Tamás Bisztray, Nils Gruschka

Proceedings of the Secure IT Systems, 2019