Papers by Wenhan Mu

1 papers
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models (2024.findings-acl)

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Challenge: Existing adversarial examples can generate invalid adversarials due to significant changes in semantic meanings compared to their originals.
Approach: They propose to use a large language model to evaluate adversarial examples by semantic constraints.
Outcome: The proposed method can generate valid adversarial examples even when they are not equipped with semantic constraints.

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