DLSF:A Textual Adversarial Attack Method Based on Dual-level Semantic Filtering

In the field of commercial applications,deep learning-based text models play a crucial role but are also susceptible to adversarial samples,such as the incorporation of confusing vocabulary into reviews leading to erroneous model responses.A strong attack algorithm can assess the robustness of such...

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Bibliografische Detailangaben
1. Verfasser:	XIONG Xi, DING Guangzheng, WANG Juan, ZHANG Shuai
Format:	Artigo
Sprache:	Chinês
Veröffentlicht:	Editorial office of Computer Science 2025-10-01
Schriftenreihe:	Jisuanji kexue
Schlagworte:	textual adversarial attack,black-box attack,beam search,robustness,text model
Online-Zugang:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-10-423.pdf
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DLSF:A Textual Adversarial Attack Method Based on Dual-level Semantic Filtering

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