Please use this identifier to cite or link to this item: doi:10.22028/D291-48046
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Title: Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics
Author(s): Zhang, Hanwei
Torres Figueroa, Felipe
Hermanns, Holger
Language: English
Title: Proceedings of the 16th Asian Conference on Machine Learning
Volume: 260
Pages: 479-494
Publisher/Platform: PMLR
Year of Publication: 2025
DDC notations: 004 Computer science, internet
Publikation type: Conference Paper
URL of the first publication: https://proceedings.mlr.press/v260/zhang25a.html
Link to this record: urn:nbn:de:bsz:291--ds-480469
hdl:20.500.11880/42036
http://dx.doi.org/10.22028/D291-48046
Date of registration: 16-Jun-2026
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Holger Hermanns
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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