Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Jonathan Peck

Faculty of Sciences > Department of Applied mathematics, computer science and statistics

ORCID iD: 0000-0003-2929-4164

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- Journal Article
- A1
- open access
An introduction to adversarially robust deep learning

Jonathan Peck (UGent) , Bart Goossens (UGent) and Yvan Saeys (UGent)

(2024) IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 46(4). p.2071-2090
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- PhD Thesis
- open access
Improving the robustness of deep neural networks to adversarial perturbations

Jonathan Peck (UGent)

(2023)
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Calibrated multi-probabilistic prediction as a defense against adversarial attacks

Jonathan Peck (UGent) , Bart Goossens (UGent) and Yvan Saeys (UGent)

(2020) Artificial Intelligence and Machine Learning 31st Benelux AI Conference, BNAIC 2019, and 28th Belgian-Dutch Machine Learning Conference, BENELEARN 2019, Revised Selected Papers. In Communications in computer and information science 1196. p.85-125
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- Journal Article
- A1
- open access
Inline detection of DGA domains using side information

Raaghavi Sivaguru, Jonathan Peck (UGent) , Femi Olumofin, Anderson Nascimento and Martine De Cock (UGent)

(2020) IEEE ACCESS. 8. p.141910-141922
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Regional image perturbation reduces Lp norms of adversarial examples while maintaining model-to-model transferability

Utku Özbulak, Jonathan Peck (UGent) , Wesley De Neve (UGent) , Bart Goossens (UGent) , Yvan Saeys (UGent) and Arnout Van Messem (UGent)

(2020) the 37th International Conference on Machine Learning (ICML 2020), Proceedings.
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- Journal Article
- A1
- open access
Detecting adversarial manipulation using inductive Venn-ABERS predictors

Jonathan Peck (UGent) , Bart Goossens (UGent) and Yvan Saeys (UGent)

(2020) NEUROCOMPUTING. 416. p.202-217
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- Conference Paper
- C3
- open access
Distillation of Deep Reinforcement Learning Models using Fuzzy Inference Systems

Arne Gevaert (UGent) , Jonathan Peck (UGent) and Yvan Saeys (UGent)

(2019) Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019). In CEUR workshop proceedings 2491.
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- Conference Paper
- P1
- open access
Hardening DGA classifiers utilizing IVAP

Charles Grumer, Jonathan Peck (UGent) , Femi Olumofin, Anderson Nascimento and Martine De Cock (UGent)

(2019) 2019 IEEE International Conference on Big Data (Big Data). In IEEE International Conference on Big Data p.6063-6065
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- Journal Article
- A1
- open access
CharBot : a simple and effective method for evading DGA classifiers

Jonathan Peck (UGent) , Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi Olumofin, Bin Yu, Anderson Nascimento and Martine De Cock (UGent)

(2019) IEEE ACCESS. 7. p.91759-91771
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- Conference Paper
- C1
- open access
Detecting adversarial examples with inductive Venn-ABERS predictors

Jonathan Peck (UGent) , Bart Goossens (UGent) and Yvan Saeys (UGent)

(2019) Proceedings of the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019). p.143-148

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