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Efficient Combinatorial Optimization for Adversarial Textual Attack

This repository contains source code for the research work described in our TASL paper: Efficient Combinatorial Optimization for Adversarial Textual Attack

Attacking

The folders GA_related, PSO_related, SbGS_related and SGS_related all contain a readme file, which is a step-by-step instruction to obtain the dataset and victim model, run LS and the baseline algorithm, and gather results under the corresponding attack scenarios.