| Lower bounds on the robustness to adversarial perturbations J Peck, J Roels, B Goossens, Y Saeys Advances in Neural Information Processing Systems, 804-813, 2017 | 82 | 2017 |
| CharBot: A Simple and Effective Method for Evading DGA Classifiers J Peck, C Nie, R Sivaguru, C Grumer, F Olumofin, B Yu, A Nascimento, ... IEEE Access 7, 91759-91771, 2019 | 62 | 2019 |
| Inline detection of DGA domains using side information R Sivaguru, J Peck, F Olumofin, A Nascimento, M De Cock IEEE Access 8, 141910-141922, 2020 | 29 | 2020 |
| Detecting adversarial manipulation using inductive Venn-ABERS predictors J Peck, B Goossens, Y Saeys Neurocomputing 416, 202-217, 2020 | 7 | 2020 |
| Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems. A Gevaert, J Peck, Y Saeys BNAIC/BENELEARN, 2019 | 5 | 2019 |
| An introduction to adversarially robust deep learning J Peck, B Goossens, Y Saeys IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (4), 2071 …, 2023 | 4 | 2023 |
| Calibrated multi-probabilistic prediction as a defense against adversarial attacks J Peck, B Goossens, Y Saeys Artificial Intelligence and Machine Learning: 31st Benelux AI Conference …, 2020 | 3 | 2020 |
| Hardening DGA Classifiers Utilizing IVAP C Grumer, J Peck, F Olumofin, A Nascimento, M De Cock IEEE Big Data, 2019 | 3 | 2019 |
| Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems A Gevaert, J Peck, Y Saeys 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022 | 2 | 2022 |
| Regional Image Perturbation Reduces Norms of Adversarial Examples While Maintaining Model-to-model Transferability U Ozbulak, J Peck, W De Neve, B Goossens, Y Saeys, A Van Messem arXiv preprint arXiv:2007.03198, 2020 | 2 | 2020 |
| Detecting Adversarial Examples with Inductive Venn-ABERS Predictors J Peck, B Goossens, Y Saeys European Symposium on Artificial Neural Networks, Computational Intelligence …, 2019 | 2 | 2019 |
| Robust width: A lightweight and certifiable adversarial defense J Peck, B Goossens arXiv preprint arXiv:2405.15971, 2024 | 1 | 2024 |
| Improving the robustness of deep neural networks to adversarial perturbations J Peck Ghent University, 2023 | | 2023 |
| Robustness of Classifiers to Adversarial Perturbations J Peck | | 2017 |
Yvan SaeysVIB - Ghent UniversityVerified email at ugent.be
