What are adversarial attacks on text classification models?

default=None, metadata={"help": "The name of the dataset to use (via the datasets library)."} ) dataset_config_name ... Sep 27, 2018 ... In this paper, we study counterfactual fairness in text classification, which asks the question: How would the prediction change if the sensitive attribute ... Nov 16, 2023 ... Looking for a very small text classification transformer [R]. Research. I'm looking for suggestions for a transformer model that I can fine-tune ... May 13, 2021 ... I have a few text classifiers that i am testing out, and they work well for data that does fit into any predefined category. Apr 3, 2020 ... By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target ... SST-2 Binary text classification with XLM-RoBERTa model. Author: Parmeet Bhatia. Overview. This tutorial demonstrates how to train a text classifier on ... Apr 2, 2022 ... Comidor provides Machine Learning(ML) models such as ML Predictive Models and ML Text Classification to enhance Digital Process Automation. Dec 24, 2022 ... In this post we'll see a demonstration of an NLP-Classification problem with 2 different approaches in python. Feb 20, 2024 ... Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning ... Jan 29, 2024 ... This post will focus on the Text Classification and Zero-Shot Text Classification tools and includes a demo that sorts e-commerce listings from this Kaggle ...