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Defending Backdoor Attacks on Vision Transformer via Patch Processing

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2023) · cited 15× · AI/ML
academia openalex:W4382468565
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Defending Backdoor Attacks on Vision Transformer via Patch Processing

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Defending Backdoor Attacks on Vision Transformer via Patch Processing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Defending Backdoor Attacks on Vision Transformer via Patch Processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/defending-backdoor-attacks-on-vision-transformer-via-patch-processing
MLA “Defending Backdoor Attacks on Vision Transformer via Patch Processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/defending-backdoor-attacks-on-vision-transformer-via-patch-processing.
BibTeX @misc{4ortxyz_defending-backdoor-attacks-on-vision-transformer-via-patch-processing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Defending Backdoor Attacks on Vision Transformer via Patch Processing}}, year = {2026}, url = {https://4ort.xyz/entity/defending-backdoor-attacks-on-vision-transformer-via-patch-processing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Defending Backdoor Attacks on Vision Transformer via Patch Processing — https://4ort.xyz/entity/defending-backdoor-attacks-on-vision-transformer-via-patch-processing (retrieved 2026-05-24)

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