Najrin Sultana

From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation

LLMs can provide substantial zero-shot performance on diverse tasks using a simple task prompt, eliminating the need for training or fine-tuning. However, when applying these models to sensitive tasks, it is crucial to thoroughly assess their robustness against adversarial inputs. In this work, we i