Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
While neural machine translation (NMT) models achieve success in our daily lives, they show vulnerability to adversarial attacks. Despite being harmful, these attacks also offer benefits for interpreting and enhancing NMT models, thus drawing increased research attention. However, existing studies o...
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Veröffentlicht in: | arXiv.org 2024-09 |
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Sprache: | eng |
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