Papers with victim or component model of choice

1 papers
XVD: Cross-Vocabulary Differentiable Training for Generative Adversarial Attacks (2024.lrec-main)

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Challenge: Existing approaches to create adversarial examples using tokens are not sufficient to ensure other desirable properties such as similarity to non-adversarial examples, linguistic fluency, and so forth.
Approach: They propose a method which leverages a set of pretrained language models to promote similarity to non-adversarial examples, linguistic fluency, and so forth.
Outcome: The proposed approach outperforms existing methods and is competitive with token-based approaches.

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