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Browsing by Author "Peck, Jonathan"

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    An Introduction to Adversarially Robust Deep Learning

    Peck, Jonathan
    ;
    Goossens, Bart  
    ;
    Saeys, Yvan
    Journal article
    2024, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, (46) 4, p.2071-2090
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    Calibrated multi-probabilistic prediction as a defense against adversarial attacks

    Peck, Jonathan
    ;
    Goossens, Bart  
    ;
    Saeys, Yvan
    Proceedings paper
    2019, Benelux Artificial Intelligence Conference (BNAIC), 6/11/2019, p.1-16
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    Detecting adversarial examples with inductive Venn-ABERS predictors

    Peck, Jonathan
    ;
    Goossens, Bart  
    ;
    Saeys, Yvan
    Proceedings paper
    2019, 27th European symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), 24/04/2019, p.143-148
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    Lower bounds on the robustness to adversarial perturbations

    Peck, Jonathan
    ;
    Roels, Joris
    ;
    Goossens, Bart  
    ;
    Saeys, Yvan
    Proceedings paper
    2017, 31st Conference on Neural Information Processing Systems - NIPS, 4/12/2017, p.804-813
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    Regional image perturbation reduces Lp norms of adversarial examples while maintaining model-to-model transferability

    Özbulak, Utku
    ;
    Peck, Jonathan
    ;
    De Neve, Wesley
    ;
    Goossens, Bart  
    ;
    Saeys, Yvan
    ;
    Van Messem, Arnout
    Proceedings paper
    2020, The 37th International Conference on Machine Learning (ICML 2020), 12/07/2020, p.1-9

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