Research
perturber: A Stateless Service for Semantics-Preserving Text Perturbations
The perturber tool introduces a stateless service and Python library designed to apply single, semantics-preserving text perturbations. It offers a catalog of 68 perturbations across 11 families, enabling systematic evaluation of model robustness by isolating the impact of individual perturbations.