Research Explorer

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Researcher

Jonathan Peck

Awards & Distinctions

11 Results

2024

An introduction to adversarially robust deep learning

Jonathan PeckBart GoossensYvan Saeys

A1 Journal Article in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

2023

Improving the robustness of deep neural networks to adversarial perturbations

Jonathan PeckYvan SaeysBart Goossens

2020

Calibrated multi-probabilistic prediction as a defense against adversarial attacks

Jonathan PeckBart GoossensYvan Saeys

Detecting adversarial manipulation using inductive Venn-ABERS predictors

Jonathan PeckBart GoossensYvan Saeys

A1 Journal Article in NEUROCOMPUTING

Inline detection of DGA domains using side information

Raaghavi SivaguruJonathan PeckFemi OlumofinAnderson NascimentoMartine De Cock

A1 Journal Article in IEEE ACCESS

Regional image perturbation reduces Lp norms of adversarial examples while maintaining model-to-model transferability

Utku ÖzbulakJonathan PeckWesley De NeveBart GoossensYvan SaeysArnout Van Messem

2019

CharBot : a simple and effective method for evading DGA classifiers

Jonathan PeckClaire NieRaaghavi SivaguruCharles GrumerFemi OlumofinBin YuAnderson NascimentoMartine De Cock

A1 Journal Article in IEEE ACCESS

Detecting adversarial examples with inductive Venn-ABERS predictors

Jonathan PeckBart GoossensYvan Saeys

Distillation of Deep Reinforcement Learning Models using Fuzzy Inference Systems

Arne GevaertJonathan PeckYvan Saeys

Hardening DGA classifiers utilizing IVAP

Charles GrumerJonathan PeckFemi OlumofinAnderson NascimentoMartine De Cock

2017

Lower bounds on the robustness to adversarial perturbations

Jonathan PeckJoris RoelsBart GoossensYvan Saeys