| 2026 | SANER | CVE-Poisoning: Towards Human-Guided and Cost-Effective Detection of a Novel AI Data Poisoning Attack. | Norbert Szolnoki, Gerg Balogh, Szabina Herman, Gbor Antal |
| 2025 | EASE | Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study. | Gbor Antal, Bence Bogenfrst, Rudolf Ferenc, Pter Hegeds |
| 2025 | EASE | Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation. | Gbor Antal, Dnes Bn, Martin Isztin, Rudolf Ferenc, Pter Hegeds |
| 2024 | EASE | Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities. | Zoltn Sgodi, Gbor Antal, Bence Bogenfrst, Martin Isztin, Pter Hegeds, Rudolf Ferenc |
| 2022 | SCAM | Don't DIY: Automatically transform legacy Python code to support structural pattern matching. | Balzs Rzsa, Gbor Antal, Rudolf Ferenc |
| 2021 | MSR | On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs. | Balzs Mosolyg, Norbert Vndor, Gbor Antal, Pter Hegeds |
| 2020 | ICCSA | A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages. | Gbor Antal, Balzs Mosolyg, Norbert Vndor, Pter Hegeds |
| 2020 | MSR | Exploring the Security Awareness of the Python and JavaScript Open Source Communities. | Gbor Antal, Mrton Keleti, Pter Hegeds |
| 2019 | ICSE | Challenging machine learning algorithms in predicting vulnerable JavaScript functions. | Rudolf Ferenc, Pter Hegeds, Pter Gyimesi, Gbor Antal, Dnes Bn, Tibor Gyimthy |
| 2018 | ICCSA | A Hands-on OpenStack Code Refactoring Experience Report. | Gbor Antal, Alex Szarka, Pter Hegeds |