Mamta

I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense

Transformer-based models are highly vulnerable to adversarial attacks, where even small perturbations can cause significant misclassifications. This paper introduces *I-Guard*, a defense framework to increase the robustness of transformer-based models against adversarial perturbations. *I-Guard* lev