István Megyeri

According to our database, István Megyeri authored at least 9 papers between 2019 and 2022.

Collaborative distances:

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

2022

Translational Robustness of Neural Networks Trained for Transcription Factor Binding Site Classification.

Gergely Pap, István Megyeri

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

PCA improves the adversarial robustness of neural networks.

István Megyeri, Ammar Al-Najjar

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis.

István Megyeri, István Hegedüs, Márk Jelasity

Proceedings of the International Joint Conference on Neural Networks, 2021

Fooling a Complete Neural Network Verifier.

Dániel Zombori, Balázs Bánhelyi, Tibor Csendes, István Megyeri, Márk Jelasity

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Adversarial Robustness of Model Sets.

István Megyeri, István Hegedüs, Márk Jelasity

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarial Example Free Zones for Specific Inputs and Neural Networks.

Tibor Csendes, Nándor Balogh, Balázs Bánhelyi, Dániel Zombori, Richárd Tóth, István Megyeri

Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020), 2020

Attacking Model Sets with Adversarial Examples.

István Megyeri, István Hegedüs, Márk Jelasity

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

A Novel Approach to Detect Outer Retinal Tubulation Using U-Net in SD-OCT Images.

István Megyeri, Melinda Katona, László G. Nyúl

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

Adversarial robustness of linear models: regularization and dimensionality.

István Megyeri, István Hegedüs, Márk Jelasity

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019