Jonathan Peck

According to our database, Jonathan Peck authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

An Introduction to Adversarially Robust Deep Learning.

Jonathan Peck, Bart Goossens, Yvan Saeys

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Robust width: A lightweight and certifiable adversarial defense.

Jonathan Peck, Bart Goossens

CoRR, 2024

2022

Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems.

Arne Gevaert, Jonathan Peck, Yvan Saeys

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2020

Detecting adversarial manipulation using inductive Venn-ABERS predictors.

Jonathan Peck, Bart Goossens, Yvan Saeys

Neurocomputing, 2020

Regional Image Perturbation Reduces L_p Norms of Adversarial Examples While Maintaining Model-to-model Transferability.

Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem

CoRR, 2020

Inline Detection of DGA Domains Using Side Information.

Raaghavi Sivaguru, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock

IEEE Access, 2020

2019

CharBot: A Simple and Effective Method for Evading DGA Classifiers.

Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi G. Olumofin, Bin Yu, Anderson C. A. Nascimento, Martine De Cock

IEEE Access, 2019

Detecting adversarial examples with inductive Venn-ABERS predictors.

Jonathan Peck, Bart Goossens, Yvan Saeys

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

Calibrated Multi-probabilistic Prediction as a Defense Against Adversarial Attacks.

Jonathan Peck, Bart Goossens, Yvan Saeys

Proceedings of the Artificial Intelligence and Machine Learning, 2019

Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems.

Arne Gevaert, Jonathan Peck, Yvan Saeys

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Hardening DGA Classifiers Utilizing IVAP.

Charles Grumer, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Lower bounds on the robustness to adversarial perturbations.

Jonathan Peck, Joris Roels, Bart Goossens, Yvan Saeys

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017