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Data-Driven Mitigation of Adversarial Text Perturbation

Data-Driven Mitigation of Adversarial Text Perturbation

19 February 2022
Rasika Bhalerao
Mohammad Al-Rubaie
Anand Bhaskar
Igor L. Markov
ArXiv (abs)PDFHTML

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
NoisyHate: Mining Online Human-Written Perturbations for Realistic Robustness Benchmarking of Content Moderation Models
Yiran Ye
Thai Le
Dongwon Lee
AAMLDeLMO
74
0
0
18 Mar 2023
A Mutation-based Text Generation for Adversarial Machine Learning
  Applications
A Mutation-based Text Generation for Adversarial Machine Learning Applications
Jesus Guerrero
G. Liang
I. Alsmadi
DeLMOMedIm
71
1
0
21 Dec 2022
Time-Aware Datasets are Adaptive Knowledgebases for the New Normal
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
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
1