34 citations · 99 across the 14 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2021
Self-interpretable Convolutional Neural Networks for Text Classification
Wei Zhao, Rahul Singh, Tarun Joshi +2
Deep learning models for natural language processing (NLP) are inherently complex and often viewed as black box in nature. This paper develops an approach for interpreting convolut…
cs.CL2021
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace
Rahul Singh, Karan Jindal, Yufei Yu +4
This paper proposes a strategy to assess the robustness of different machine learning models that involve natural language processing (NLP). The overall approach relies upon a Sear…
cs.CL2020
Model Robustness with Text Classification: Semantic-preserving adversarial attacks
Rahul Singh, Tarun Joshi, Vijayan N. Nair +1
We propose algorithms to create adversarial attacks to assess model robustness in text classification problems. They can be used to create white box attacks and black box attacks w…