Jonathan Peck

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Learning Models

Top Venues

BNAIC/BENELEARN

Publications

Jonathan Peck, Bart Goossens, Yvan Saeys
An Introduction to Adversarially Robust Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Jonathan Peck, Bart Goossens
Robust width: A lightweight and certifiable adversarial defense. CoRR (2024)
Arne Gevaert, Jonathan Peck, Yvan Saeys
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. FUZZ-IEEE (2022)
Arne Gevaert, Jonathan Peck, Yvan Saeys
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. CoRR (2022)
Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR (2020)
Raaghavi Sivaguru, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock
Inline Detection of DGA Domains Using Side Information. IEEE Access 8 (2020)
Raaghavi Sivaguru, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock
Inline Detection of DGA Domains Using Side Information. CoRR (2020)
Jonathan Peck, Bart Goossens, Yvan Saeys
Detecting adversarial manipulation using inductive Venn-ABERS predictors. Neurocomputing 416 (2020)
Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi G. Olumofin, Bin Yu, Anderson C. A. Nascimento, Martine De Cock
CharBot: A Simple and Effective Method for Evading DGA Classifiers. IEEE Access 7 (2019)
Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi G. Olumofin, Bin Yu, Anderson C. A. Nascimento, Martine De Cock
CharBot: A Simple and Effective Method for Evading DGA Classifiers. CoRR (2019)
Jonathan Peck, Bart Goossens, Yvan Saeys
Detecting adversarial examples with inductive Venn-ABERS predictors. ESANN (2019)
Jonathan Peck, Bart Goossens, Yvan Saeys
Calibrated Multi-probabilistic Prediction as a Defense Against Adversarial Attacks. BNAIC/BENELEARN (Selected Papers) (2019)
Arne Gevaert, Jonathan Peck, Yvan Saeys
Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems. BNAIC/BENELEARN (2019)
Charles Grumer, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock
Hardening DGA Classifiers Utilizing IVAP. IEEE BigData (2019)
Jonathan Peck, Bart Goossens, Yvan Saeys
Calibrated Multi-Probabilistic Prediction as a Defense against Adversarial Attacks. BNAIC/BENELEARN (2019)
Jonathan Peck, Joris Roels, Bart Goossens, Yvan Saeys
Lower bounds on the robustness to adversarial perturbations. NIPS (2017)