Adversarial Attacks In Nlp

# Adversarial Attacks In NLP: Defending Against Malicious Input Imagine training a state-of-the-art sentiment analysis model, only to find it consistently misclassifies reviews with subtle, almost imperceptible changes. This is the reality of adversarial attacks in Natural Language Processing (NLP), a critical area of research exploring how malicious actors can manipulate NLP models. In a world increasingly reliant on AI, understanding and mitigating these attacks is paramount. This article pr