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On The Robustness of Offensive Language Classifiers

On The Robustness of Offensive Language Classifiers

21 March 2022
Jonathan Rusert
Zubair Shafiq
P. Srinivasan
    AAML
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Papers citing "On The Robustness of Offensive Language Classifiers"

10 / 10 papers shown
Title
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
Varvara Arzt
Allan Hanbury
Michael Wiegand
Gábor Recski
Terra Blevins
0
0
0
18 May 2025
BinarySelect to Improve Accessibility of Black-Box Attack Research
BinarySelect to Improve Accessibility of Black-Box Attack Research
Shatarupa Ghosh
Jonathan Rusert
AAML
79
0
0
13 Dec 2024
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation
  for Generative Large Language Models
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
Aparna Elangovan
Ling Liu
Lei Xu
S. Bodapati
Dan Roth
ELM
30
9
0
28 May 2024
VertAttack: Taking advantage of Text Classifiers' horizontal vision
VertAttack: Taking advantage of Text Classifiers' horizontal vision
Jonathan Rusert
AAML
37
1
0
12 Apr 2024
Adversarial Testing for Visual Grounding via Image-Aware Property
  Reduction
Adversarial Testing for Visual Grounding via Image-Aware Property Reduction
Zhiyuan Chang
Mingyang Li
Junjie Wang
Cheng Li
Boyu Wu
Fanjiang Xu
Qing Wang
AAML
36
0
0
02 Mar 2024
A Note on Bias to Complete
A Note on Bias to Complete
Jia Xu
Mona Diab
47
2
0
18 Feb 2024
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the
  Robustness of Large Language Models
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models
Alex Mei
Sharon Levy
William Yang Wang
AAML
36
7
0
14 Oct 2023
Cross-Cultural Transfer Learning for Chinese Offensive Language
  Detection
Cross-Cultural Transfer Learning for Chinese Offensive Language Detection
Li Zhou
Laura Cabello
Yongfa Cao
Daniel Hershcovich
29
15
0
31 Mar 2023
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
39
1
0
08 Nov 2022
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
273
3,110
0
04 Nov 2016
1