Perturbing Inputs for Fragile Interpretations in Deep Natural Language
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Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing

11 August 2021

Arshdeep Sekhon

Papers citing "Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing"

10 / 10 papers shown

Title
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI Christopher Burger Charles Walter Thai Le AAML 146 1 0 20 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 94 0 0 30 Dec 2024
Surpassing GPT-4 Medical Coding with a Two-Stage Approach Zhichao Yang S. S. Batra Joel Stremmel Eran Halperin ELM 24 5 0 22 Nov 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications Adam Ivankay Mattia Rigotti P. Frossard OOD MedIm 21 1 0 05 Jul 2023
Understanding and Enhancing Robustness of Concept-based Models Sanchit Sinha Mengdi Huai Jianhui Sun Aidong Zhang AAML 25 18 0 29 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 32 4 0 09 Nov 2022
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language R. Sevastjanova Mennatallah El-Assady LRM 27 9 0 14 Jul 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 22 20 0 07 Jun 2022
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 193 711 0 17 Apr 2018