Privacy Impact Assessment: Comparing Methodologies with a Focus on Practicality. - Tamás Bisztray; Nils Gruschka (NordSec, 2019)

Data Protection Impact Assessment in Identity Control Management with a Focus on Biometrics. - Tamás Bisztray; Nils Gruschka; Vasileios Mavroeidis; Lothar Fritsch (Open Identity Summit, 2020)

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 (BIOSIG, 2021)

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 (PROMISE, 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 (IEEE DataPort, 2023)

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; et al. (IEEE Big Data, 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 (CSR, 2024)

LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations. - Rebeka Tóth; Tamás Bisztray; László Erdodi (SAFECOMP (Workshops), 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)

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)

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)

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 (TASE, 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, 2025)

Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection. - Ryan Marinelli; Josef Pichlmeier; Tamás Bisztray (CoRR, 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., 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 (CoRR, 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 (CoRR, 2025)