Chinese Character-level Adversarial Example Generation Approach
HU Hanping
ZHANG Jie
Abstract：Adversarial examples are an important means to measure the robustness of deep learning models.In the field of Chi-nese text adversarial example generation,text adversarial examples have the problems of low coverage situations,weakness attack effect and low quality.To address the above problems,a character-level text adversarial example generation approach SCGA(Simi-lar Character Generation Adversarial Example)is proposed,SCAG constructs a phonetic-form similarity dictionary by calculating the similarity of pronunciation and shape.This method effectively locates important word positions,using similar characters to re-place the original examples,and finally performing an adversarial example attack under black-box.This paper verifies the method's effectiveness on several datasets compared with several methods.This method has high quality and can effectively mislead the classi-fication results of the model.
Keywords：deep learningtextual adversarial example generationChinese text classification modelblack-box attacknearby dictionaries
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：6( 3144-3148,3227 )