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Universal Adversarial Perturbation for Text Classification

Universal Adversarial Perturbation for Text Classification

10 October 2019
Hang Gao
Tim Oates
    AAML
ArXivPDFHTML

Papers citing "Universal Adversarial Perturbation for Text Classification"

6 / 6 papers shown
Title
Fooling Explanations in Text Classifiers
Fooling Explanations in Text Classifiers
Adam Ivankay
Ivan Girardi
Chiara Marchiori
P. Frossard
AAML
30
20
0
07 Jun 2022
A Survey On Universal Adversarial Attack
A Survey On Universal Adversarial Attack
Chaoning Zhang
Philipp Benz
Chenguo Lin
Adil Karjauv
Jing Wu
In So Kweon
AAML
23
90
0
02 Mar 2021
Universal Adversarial Perturbations: A Survey
Universal Adversarial Perturbations: A Survey
Ashutosh Chaubey
Nikhil Agrawal
Kavya Barnwal
K. K. Guliani
Pramod Mehta
OOD
AAML
39
46
0
16 May 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
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