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Journal Articles
- 2024
[j4]Jonathan Peck
, Bart Goossens, Yvan Saeys:
An Introduction to Adversarially Robust Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2071-2090 (2024)- 2020
- [j3]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: 141910-141922 (2020) - [j2]Jonathan Peck, Bart Goossens, Yvan Saeys:
Detecting adversarial manipulation using inductive Venn-ABERS predictors. Neurocomputing 416: 202-217 (2020) - 2019
- [j1]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: 91759-91771 (2019)
Conference and Workshop Papers
- 2022
- [c7]Arne Gevaert, Jonathan Peck, Yvan Saeys:
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. FUZZ-IEEE 2022: 1-8 - 2019
- [c6]Charles Grumer, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock:
Hardening DGA Classifiers Utilizing IVAP. IEEE BigData 2019: 6063-6065 - [c5]Arne Gevaert, Jonathan Peck, Yvan Saeys:
Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems. BNAIC/BENELEARN 2019 - [c4]Jonathan Peck, Bart Goossens, Yvan Saeys:
Calibrated Multi-Probabilistic Prediction as a Defense against Adversarial Attacks. BNAIC/BENELEARN 2019 - [c3]Jonathan Peck, Bart Goossens, Yvan Saeys:
Calibrated Multi-probabilistic Prediction as a Defense Against Adversarial Attacks. BNAIC/BENELEARN (Selected Papers) 2019: 85-125 - [c2]Jonathan Peck, Bart Goossens, Yvan Saeys:
Detecting adversarial examples with inductive Venn-ABERS predictors. ESANN 2019 - 2017
- [c1]Jonathan Peck, Joris Roels, Bart Goossens, Yvan Saeys:
Lower bounds on the robustness to adversarial perturbations. NIPS 2017: 804-813
Informal and Other Publications
- 2024
- [i5]Jonathan Peck, Bart Goossens:
Robust width: A lightweight and certifiable adversarial defense. CoRR abs/2405.15971 (2024) - 2022
- [i4]Arne Gevaert, Jonathan Peck, Yvan Saeys:
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. CoRR abs/2209.03357 (2022) - 2020
- [i3]Raaghavi Sivaguru, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock:
Inline Detection of DGA Domains Using Side Information. CoRR abs/2003.05703 (2020) - [i2]Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem:
Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR abs/2007.03198 (2020) - 2019
- [i1]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 abs/1905.01078 (2019)
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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