Nov 27, 2020 · In this paper, we propose to exploit this calibration property for the detection of adversarial examples in binary classification tasks.

Jul 1, 2019 · Based on this idea, we propose the MultIVAP algorithm for defending arbitrary ML models against adversarial examples. Our method is inspired by ...

This work proposes an algorithm that is both accurate on the original test set and significantly more robust to adversarial examples, and appears to be ...

Apr 11, 2020 · In this paper, we propose to exploit this calibration property for the detection of adversarial examples in binary classification tasks. By ...

This paper focuses on the detection of adversarial examples, which are created for convolutional neural networks that perform image classification. We propose ...

Inductive Venn-ABERS predictors (IVAPs) are a type of probabilistic predictors with the theoretical guarantee that their predictions are perfectly calibrated.

Detecting adversarial examples with inductive Venn-ABERS predictors. dc.contributor.author, Peck, Jonathan. dc.contributor.author, Goossens, Bart. dc.

Reference details ; Title: Detecting adversarial examples with inductive Venn-ABERS predictors ; ISBN: 9782875870650 ; Author: Peck, Jonathan WE02 biblio orcid

Bibliographic details on Detecting adversarial examples with inductive Venn-ABERS predictors.

Moving from the explanations, objective of this study is to provide information regarding adversarial examples threatening the Artificial Intelligence and focus ...