Researcher
Jonathan Peck
- Keywords (Ghent University):Artificial Intelligence, Machine learning
- Disciplines (Flanders Institute for Biotechnology):Analysis of next-generation sequence data, Adaptive immunology, Bacteriology
- Disciplines (Ghent University):Machine learning and decision making
Affiliations
- Saeys Lab (Research group)
Member
From1 Oct 2017 → Today - Department of Applied Mathematics, Computer Science and Statistics (Department)
Member
From12 Sep 2017 → Today
Projects
1 - 2 of 2
- A Formal Characterization of the Robustness of Deep Neural Networks to Adversarial PerturbationsFrom1 Oct 2018 → 30 Sep 2022Funding: FWO fellowships
- A formal characterization of the robustness of deep learning techniquesFrom1 Oct 2017 → 30 Sep 2018Funding: BOF - Doctoral projects
Publications
1 - 10 of 11
- An introduction to adversarially robust deep learning(2024)
Authors: Jonathan Peck, Bart Goossens, Yvan Saeys
Pages: 2071 - 2090 - Regional image perturbation reduces Lp norms of adversarial examples while maintaining model-to-model transferability(2020)
Authors: Utku Özbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
Number of pages: 1 - Calibrated multi-probabilistic prediction as a defense against adversarial attacks(2020)Volume: 1196
Authors: Jonathan Peck, Bart Goossens, Yvan Saeys, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe
Pages: 85 - 125 - Detecting adversarial manipulation using inductive Venn-ABERS predictors(2020)
Authors: Jonathan Peck, Bart Goossens, Yvan Saeys
Pages: 202 - 217 - Detecting adversarial examples with inductive Venn-ABERS predictors(2019)
Authors: Jonathan Peck, Bart Goossens, Yvan Saeys
Pages: 143 - 148 - Hardening DGA classifiers utilizing IVAP(2019)
Authors: Charles Grumer, Jonathan Peck, Femi Olumofin, Anderson Nascimento, Martine De Cock
Pages: 6063 - 6065 - Distillation of Deep Reinforcement Learning Models using Fuzzy Inference Systems(2019)Volume: 2491
Authors: Arne Gevaert, Jonathan Peck, Yvan Saeys
Number of pages: 1 - Lower bounds on the robustness to adversarial perturbations(2017)Volume: 30
Authors: Jonathan Peck, Joris Roels, Bart Goossens, Yvan Saeys, I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, et al.
Pages: 804 - 813 - Inline detection of DGA domains using side information
Authors: Raaghavi Sivaguru, Jonathan Peck, Femi Olumofin, Anderson Nascimento, Martine De Cock
Pages: 141910 - 141922 - Improving the robustness of deep neural networks to adversarial perturbations
Authors: Jonathan Peck