Jonathan Peck

17 papers B 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Triggering hallucinations in model-based MRI reconstruction via adversarial perturbations.
CoRR
Suna Bugday, Yvan Saeys, Jonathan Peck
2024 J jnl
An Introduction to Adversarially Robust Deep Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jonathan Peck, Bart Goossens, Yvan Saeys
2024 J jnl
Robust width: A lightweight and certifiable adversarial defense.
CoRR
Jonathan Peck, Bart Goossens
2022 B conf
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems.
FUZZ-IEEE
Arne Gevaert, Jonathan Peck, Yvan Saeys
2022 J jnl
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems.
CoRR
Arne Gevaert, Jonathan Peck, Yvan Saeys
2020 J jnl
Detecting adversarial manipulation using inductive Venn-ABERS predictors.
Neurocomputing
Jonathan Peck, Bart Goossens, Yvan Saeys
2020 J jnl
Inline Detection of DGA Domains Using Side Information.
IEEE Access
Raaghavi Sivaguru, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock
2020 J jnl
Inline Detection of DGA Domains Using Side Information.
CoRR
Raaghavi Sivaguru, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock
2020 J jnl
Regional Image Perturbation Reduces L
CoRR
Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
2019 — conf
Calibrated Multi-Probabilistic Prediction as a Defense against Adversarial Attacks.
BNAIC/BENELEARN
Jonathan Peck, Bart Goossens, Yvan Saeys
2019 — conf
Calibrated Multi-probabilistic Prediction as a Defense Against Adversarial Attacks.
BNAIC/BENELEARN (Selected Papers)
Jonathan Peck, Bart Goossens, Yvan Saeys
2019 J jnl
CharBot: A Simple and Effective Method for Evading DGA Classifiers.
IEEE Access
Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi G. Olumofin, Bin Yu, Anderson C. A. Nascimento, Martine De Cock
2019 J jnl
CharBot: A Simple and Effective Method for Evading DGA Classifiers.
CoRR
Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi G. Olumofin, Bin Yu, Anderson C. A. Nascimento, Martine De Cock
2019 B conf
Detecting adversarial examples with inductive Venn-ABERS predictors.
ESANN
Jonathan Peck, Bart Goossens, Yvan Saeys
2019 — conf
Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems.
BNAIC/BENELEARN
Arne Gevaert, Jonathan Peck, Yvan Saeys
2019 — conf
Hardening DGA Classifiers Utilizing IVAP.
IEEE BigData
Charles Grumer, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock
2017 — conf
Lower bounds on the robustness to adversarial perturbations.
NIPS
Jonathan Peck, Joris Roels, Bart Goossens, Yvan Saeys