Data-Driven Mitigation of Adversarial Text Perturbation

19 February 2022

Papers citing "Data-Driven Mitigation of Adversarial Text Perturbation"

4 / 4 papers shown

Title
NoisyHate: Mining Online Human-Written Perturbations for Realistic Robustness Benchmarking of Content Moderation Models Yiran Ye Thai Le Dongwon Lee AAML DeLMO 74 0 0 18 Mar 2023
A Mutation-based Text Generation for Adversarial Machine Learning Applications Jesus Guerrero G. Liang I. Alsmadi DeLMO MedIm 71 1 0 21 Dec 2022
Time-Aware Datasets are Adaptive Knowledgebases for the New Normal Abhijit Suprem Sanjyot Vaidya J. Ferreira C. Pu 58 2 0 22 Nov 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