Adversarial robustness of linear models: regularization and dimensionality. - István Megyeri; István Hegedüs; Márk Jelasity (ESANN, 2019)

A Novel Approach to Detect Outer Retinal Tubulation Using U-Net in SD-OCT Images. - István Megyeri; Melinda Katona; László G. Nyúl (SITIS, 2019)

Attacking Model Sets with Adversarial Examples. - István Megyeri; István Hegedüs; Márk Jelasity (ESANN, 2020)

Adversarial Example Free Zones for Specific Inputs and Neural Networks. - Tibor Csendes; Nándor Balogh; Balázs Bánhelyi; Dániel Zombori; Richárd Tóth; István Megyeri (ICAI, 2020)

Adversarial Robustness of Model Sets. - István Megyeri; István Hegedüs; Márk Jelasity (IJCNN, 2020)

Fooling a Complete Neural Network Verifier. - Dániel Zombori; Balázs Bánhelyi; Tibor Csendes; István Megyeri; Márk Jelasity (ICLR, 2021)

Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis. - István Megyeri; István Hegedüs; Márk Jelasity (IJCNN, 2021)

PCA improves the adversarial robustness of neural networks. - István Megyeri; Ammar Al-Najjar (ESANN, 2022)

Translational Robustness of Neural Networks Trained for Transcription Factor Binding Site Classification. - Gergely Pap; István Megyeri (ICAART (3), 2022)

Adversarial Training without Hard Labels. - Ammar Al-Najjar; István Megyeri; Márk Jelasity (ESANN, 2024)

Learning to Run a Marathon: Avoid Overfitting to Speed. - Krisztián Gábrisch; István Megyeri (ICAART (3), 2025)

Towards More Robust Transcription Factor Binding Site Classifiers Using Out-of-Distribution Data. - István Megyeri; Gergely Pap (ICAART (3), 2025)

Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders. - Levente Lippenszky; István Megyeri; Krisztian Koos; Zsófia Karancsi; Borbála Deák-Karancsi; András Frontó; Makk Árpád; Attila Rádics; Erhan Bas; László Ruskó (CoRR, 2025)