Fooling Explanations in Text Classifiers

7 June 2022

Papers citing "Fooling Explanations in Text Classifiers"

7 / 7 papers shown

Title
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 100 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 29 5 0 22 Nov 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications Adam Ivankay Mattia Rigotti P. Frossard OOD MedIm 26 1 0 05 Jul 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 39 82 0 19 May 2023
Estimating the Adversarial Robustness of Attributions in Text with Transformers Adam Ivankay Mattia Rigotti Ivan Girardi Chiara Marchiori P. Frossard 12 1 0 18 Dec 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
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 23 10 0 29 Nov 2019