Sep 12, 2023Machine Learning8 min read
Adversarial Perturbations in Transformer-Based NLP Models
An empirical study demonstrating the fragility of large language models when subjected to gradient-based adversarial token substitution.
Transformer architectures exhibit surprising sensitivity to low-magnitude perturbations in embedding space.