| 2025 | ICAART | Learning to Run a Marathon: Avoid Overfitting to Speed. | Krisztin Gbrisch, Istvn Megyeri |
| 2025 | ICAART | Towards More Robust Transcription Factor Binding Site Classifiers Using Out-of-Distribution Data. | Istvn Megyeri, Gergely Pap |
| 2024 | ESANN | Adversarial Training without Hard Labels. | Ammar Al-Najjar, Istvn Megyeri, Mrk Jelasity |
| 2022 | ESANN | PCA improves the adversarial robustness of neural networks. | Istvn Megyeri, Ammar Al-Najjar |
| 2022 | ICAART | Translational Robustness of Neural Networks Trained for Transcription Factor Binding Site Classification. | Gergely Pap, Istvn Megyeri |
| 2021 | ICLR | Fooling a Complete Neural Network Verifier. | Dniel Zombori, Balzs Bnhelyi, Tibor Csendes, Istvn Megyeri, Mrk Jelasity |
| 2021 | IJCNN | Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis. | Istvn Megyeri, Istvn Hegeds, Mrk Jelasity |
| 2020 | ESANN | Attacking Model Sets with Adversarial Examples. | Istvn Megyeri, Istvn Hegeds, Mrk Jelasity |
| 2020 | IJCNN | Adversarial Robustness of Model Sets. | Istvn Megyeri, Istvn Hegeds, Mrk Jelasity |
| 2019 | ESANN | Adversarial robustness of linear models: regularization and dimensionality. | Istvn Megyeri, Istvn Hegeds, Mrk Jelasity |