Deep learning adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective.
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| Title: | Deep learning adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective. |
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| Authors: | Ibrahum, Ahmed Dawod Mohammed1, Hussain, Manzoor1, Hong, Jang-Eui1, jehong@chungbuk.ac.kr |
| Source: | Artificial Intelligence Review; Jan2025, Vol. 58 Issue 1, p1-53, 53p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 181403122 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-024-11014-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 53 StartPage: 1 Titles: – TitleFull: Deep learning adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ibrahum, Ahmed Dawod Mohammed – PersonEntity: Name: NameFull: Hussain, Manzoor – PersonEntity: Name: NameFull: Hong, Jang-Eui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 58 – Type: issue Value: 1 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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