Adversarial Text

Adversarial Text refers to text sequences specifically designed to influence the predictions of language models. The primary goal is to reveal the vulnerabilities and potential weaknesses of the model by disrupting its normal operation. Studying different types of Adversarial Text attack methods helps in building effective defense mechanisms, detecting malicious inputs, and thus enhancing the security and robustness of large language models.