2N labeling defense method against adversarial attacks by filtering and extended class label set

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Main Authors: Gábor, Szűcs, Richárd, Kiss
Format: Book
Language:English
Published: Springer 2023
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Online Access:https://link.springer.com/article/10.1007/s11042-022-14021-5
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8333
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spelling oai:localhost:PNK-83332023-04-26T06:44:51Z 2N labeling defense method against adversarial attacks by filtering and extended class label set Gábor, Szűcs Richárd, Kiss 2N labeling defense method NULL labeling method CC BY The fast improvement of deep learning methods resulted in breakthroughs in image classification, however, these models are sensitive to adversarial perturbations, which can cause serious problems. Adversarial attacks try to change the model output by adding noise to the input, in our research we propose a combined defense method against it. Two defense approaches have been evolved in the literature, one robustizes the attacked model for higher accuracy, and the other approach detects the adversarial examples. Only very few papers discuss both approaches, thus our aim was to combine them to obtain a more robust model and to examine the combination, in particular the filtering capability of the detector. Our contribution was that the filtering based on the decision of the detector is able to enhance the accuracy, which was theoretically proved. 2023-04-26T06:44:51Z 2023-04-26T06:44:51Z 2022 Book https://link.springer.com/article/10.1007/s11042-022-14021-5 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8333 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic 2N labeling defense method
NULL labeling method
spellingShingle 2N labeling defense method
NULL labeling method
Gábor, Szűcs
Richárd, Kiss
2N labeling defense method against adversarial attacks by filtering and extended class label set
description CC BY
format Book
author Gábor, Szűcs
Richárd, Kiss
author_facet Gábor, Szűcs
Richárd, Kiss
author_sort Gábor, Szűcs
title 2N labeling defense method against adversarial attacks by filtering and extended class label set
title_short 2N labeling defense method against adversarial attacks by filtering and extended class label set
title_full 2N labeling defense method against adversarial attacks by filtering and extended class label set
title_fullStr 2N labeling defense method against adversarial attacks by filtering and extended class label set
title_full_unstemmed 2N labeling defense method against adversarial attacks by filtering and extended class label set
title_sort 2n labeling defense method against adversarial attacks by filtering and extended class label set
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11042-022-14021-5
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8333
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score 8.891053