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Researcher
Jonathan Peck
Profile
Projects
Publications & Research Data
Activities
Awards & Distinctions
Patents
12
Results
2025
On the effect of gradient regularisation on interpretability
Arn De Moor
Arne Gevaert
Jonathan Peck
Yvan Saeys
C3
Conference
2025
2024
An introduction to adversarially robust deep learning
Jonathan Peck
Bart Goossens
Yvan Saeys
A1
Journal Article
in
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2024
2023
Improving the robustness of deep neural networks to adversarial perturbations
Jonathan Peck
Yvan Saeys
Bart Goossens
Dissertation
2023
2020
Calibrated multi-probabilistic prediction as a defense against adversarial attacks
Jonathan Peck
Bart Goossens
Yvan Saeys
C1
Conference
2020
Detecting adversarial manipulation using inductive Venn-ABERS predictors
Jonathan Peck
Bart Goossens
Yvan Saeys
A1
Journal Article
in
NEUROCOMPUTING
2020
Inline detection of DGA domains using side information
Raaghavi Sivaguru
Jonathan Peck
Femi Olumofin
Anderson Nascimento
Martine De Cock
A1
Journal Article
in
IEEE ACCESS
2020
Regional image perturbation reduces Lp norms of adversarial examples while maintaining model-to-model transferability
Utku Özbulak
Jonathan Peck
Wesley De Neve
Bart Goossens
Yvan Saeys
Arnout Van Messem
C1
Conference
2020
2019
CharBot : a simple and effective method for evading DGA classifiers
Jonathan Peck
Claire Nie
Raaghavi Sivaguru
Charles Grumer
Femi Olumofin
Bin Yu
Anderson Nascimento
Martine De Cock
A1
Journal Article
in
IEEE ACCESS
2019
Detecting adversarial examples with inductive Venn-ABERS predictors
Jonathan Peck
Bart Goossens
Yvan Saeys
C1
Conference
2019
Distillation of Deep Reinforcement Learning Models using Fuzzy Inference Systems
Arne Gevaert
Jonathan Peck
Yvan Saeys
C3
Conference
2019
Hardening DGA classifiers utilizing IVAP
Charles Grumer
Jonathan Peck
Femi Olumofin
Anderson Nascimento
Martine De Cock
P1
Conference
2019
2017
Lower bounds on the robustness to adversarial perturbations
Jonathan Peck
Joris Roels
Bart Goossens
Yvan Saeys
P1
Conference
2017