2025
Overcoming Black-box Attack Inefficiency with Hybrid and Dynamic Select Algorithms
EMNLP 2025
Adversarial text attack research plays a crucial role in evaluating the robustness of NLP models. However, the increasing complexity of transformer-based architectures has dramatically raised the computational cost of attack testing, especially for researchers with limited resources (e.g., GPUs). Ex