Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models

11 February 2022

Papers citing "Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models"

4 / 4 papers shown

Title
NLP Security and Ethics, in the Wild Heather Lent Erick Galinkin Yiyi Chen Jens Myrup Pedersen Leon Derczynski Johannes Bjerva SILM 135 0 0 09 Apr 2025
MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification Harrison Gietz Jugal Kalita AAML 63 1 0 18 Jun 2024
Probabilistic Categorical Adversarial Attack & Adversarial Training Han Xu Penghei He Jie Ren Yuxuan Wan Zitao Liu Hui Liu Jiliang Tang AAML SILM 52 0 0 17 Oct 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 91 30 0 12 Mar 2022