Adversarial Attacks Reveal Divergent Deception Competence in Humans and Generative Language Models

Machine learning models typically outperform humans in deception detection. A threat to machine learning models is their vulnerability to adversarial attacks: subtle yet targeted perturbations of input data that trick a model into misclassification. Yet, this also provides an opportunity: understand