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Task-driven attention attack: An enhanced adversarial framework for long text
DOI:10.1016/j.eswa.2025.128834.png)
Abstract
En 中文
• Existing attacks fail on long texts due to inefficient scoring mechanism. • TDAA: Novel task-driven attack framework for long texts. • Integrates contextual semantics & task-specific attention. • Adaptive length threshold + statistically non-essential sentence elimination. • 34.7 % ↑ ASR & 40 % ↑ efficiency vs baselines.
Journal
IF:
7.5
Papers:
3.0W
Citations:
10.2W
Organization
No organization information available
Cited Papers
WordChange: Adversarial Examples Generation Approach for Chinese Text Classification
IEEE ACCESS
IF3.6
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