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Combating Adversarial Misspellings with Robust Word Recognition

Combating Adversarial Misspellings with Robust Word Recognition

27 May 2019
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
ArXivPDFHTML

Papers citing "Combating Adversarial Misspellings with Robust Word Recognition"

50 / 163 papers shown
Title
Can Character-based Language Models Improve Downstream Task Performance
  in Low-Resource and Noisy Language Scenarios?
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
Arij Riabi
Benoît Sagot
Djamé Seddah
31
15
0
26 Oct 2021
On the Robustness of Reading Comprehension Models to Entity Renaming
On the Robustness of Reading Comprehension Models to Entity Renaming
Jun Yan
Yang Xiao
Sagnik Mukherjee
Bill Yuchen Lin
Robin Jia
Xiang Ren
18
20
0
16 Oct 2021
Generating Natural Language Adversarial Examples through An Improved
  Beam Search Algorithm
Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm
Tengfei Zhao
Zhaocheng Ge
Han Hu
Di Shi
AAML
35
3
0
15 Oct 2021
Semantically Distributed Robust Optimization for Vision-and-Language
  Inference
Semantically Distributed Robust Optimization for Vision-and-Language Inference
Tejas Gokhale
A. Chaudhary
Pratyay Banerjee
Chitta Baral
Yezhou Yang
54
17
0
14 Oct 2021
SEPP: Similarity Estimation of Predicted Probabilities for Defending and
  Detecting Adversarial Text
SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text
Hoang-Quoc Nguyen-Son
Seira Hidano
Kazuhide Fukushima
S. Kiyomoto
AAML
11
0
0
12 Oct 2021
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
Michihiro Yasunaga
J. Leskovec
Percy Liang
19
50
0
14 Sep 2021
PETGEN: Personalized Text Generation Attack on Deep Sequence
  Embedding-based Classification Models
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models
Bing He
M. Ahamad
Srijan Kumar
SILM
AAML
180
27
0
14 Sep 2021
Detecting Textual Adversarial Examples through Randomized Substitution
  and Vote
Detecting Textual Adversarial Examples through Randomized Substitution and Vote
Xiaosen Wang
Yifeng Xiong
Kun He
AAML
27
11
0
13 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning
Multi-granularity Textual Adversarial Attack with Behavior Cloning
Yangyi Chen
Jingtong Su
Wei Wei
AAML
19
32
0
09 Sep 2021
Efficient Combinatorial Optimization for Word-level Adversarial Textual
  Attack
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
Shengcai Liu
Ning Lu
Cheng Chen
Ke Tang
AAML
23
32
0
06 Sep 2021
How Suitable Are Subword Segmentation Strategies for Translating
  Non-Concatenative Morphology?
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?
Chantal Amrhein
Rico Sennrich
27
13
0
02 Sep 2021
Evaluating the Robustness of Neural Language Models to Input
  Perturbations
Evaluating the Robustness of Neural Language Models to Input Perturbations
M. Moradi
Matthias Samwald
AAML
50
96
0
27 Aug 2021
AMMUS : A Survey of Transformer-based Pretrained Models in Natural
  Language Processing
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
VLM
LM&MA
26
261
0
12 Aug 2021
Towards Robustness Against Natural Language Word Substitutions
Towards Robustness Against Natural Language Word Substitutions
Xinshuai Dong
A. Luu
Rongrong Ji
Hong Liu
SILM
AAML
38
113
0
28 Jul 2021
A Differentiable Language Model Adversarial Attack on Text Classifiers
A Differentiable Language Model Adversarial Attack on Text Classifiers
I. Fursov
Alexey Zaytsev
Pavel Burnyshev
Ekaterina Dmitrieva
Nikita Klyuchnikov
A. Kravchenko
Ekaterina Artemova
Evgeny Burnaev
SILM
27
15
0
23 Jul 2021
How Vulnerable Are Automatic Fake News Detection Methods to Adversarial
  Attacks?
How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?
Camille Koenders
Johannes Filla
Nicolai Schneider
Vinicius Woloszyn
GNN
30
15
0
16 Jul 2021
Android Security using NLP Techniques: A Review
Android Security using NLP Techniques: A Review
Sevil Sen
Burcu Can
AAML
22
4
0
07 Jul 2021
Charformer: Fast Character Transformers via Gradient-based Subword
  Tokenization
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Yi Tay
Vinh Q. Tran
Sebastian Ruder
Jai Gupta
Hyung Won Chung
Dara Bahri
Zhen Qin
Simon Baumgartner
Cong Yu
Donald Metzler
51
153
0
23 Jun 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking
  and Evaluation
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation
Prakhar Gupta
Yulia Tsvetkov
Jeffrey P. Bigham
42
22
0
10 Jun 2021
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively
  Inspired Orthographic Adversarial Attacks
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks
Yannik Keller
J. Mackensen
Steffen Eger
AAML
21
29
0
02 Jun 2021
Defending Pre-trained Language Models from Adversarial Word
  Substitutions Without Performance Sacrifice
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice
Rongzhou Bao
Jiayi Wang
Hai Zhao
AAML
11
43
0
30 May 2021
ByT5: Towards a token-free future with pre-trained byte-to-byte models
ByT5: Towards a token-free future with pre-trained byte-to-byte models
Linting Xue
Aditya Barua
Noah Constant
Rami Al-Rfou
Sharan Narang
Mihir Kale
Adam Roberts
Colin Raffel
38
467
0
28 May 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language
  Models
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
LM&MA
MedIm
26
164
0
16 Apr 2021
On the Robustness of Intent Classification and Slot Labeling in
  Goal-oriented Dialog Systems to Real-world Noise
On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise
Sailik Sengupta
Jason Krone
Saab Mansour
NoLa
19
12
0
14 Apr 2021
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language
  Representation
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
J. Clark
Dan Garrette
Iulia Turc
John Wieting
36
210
0
11 Mar 2021
Adv-OLM: Generating Textual Adversaries via OLM
Adv-OLM: Generating Textual Adversaries via OLM
Vijit Malik
A. Bhat
Ashutosh Modi
35
6
0
21 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation
Adversarial Machine Learning in Text Analysis and Generation
I. Alsmadi
AAML
24
5
0
14 Jan 2021
Better Robustness by More Coverage: Adversarial Training with Mixup
  Augmentation for Robust Fine-tuning
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning
Chenglei Si
Zhengyan Zhang
Fanchao Qi
Zhiyuan Liu
Yasheng Wang
Qun Liu
Maosong Sun
AAML
SILM
25
67
0
31 Dec 2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box
  Assumption
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
Ivan Evtimov
Russ Howes
Brian Dolhansky
Hamed Firooz
Cristian Canton Ferrer
AAML
6
10
0
25 Nov 2020
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal
  Trigger's Adversarial Attacks
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks
Thai Le
Noseong Park
Dongwon Lee
10
23
0
20 Nov 2020
SHIELD: Defending Textual Neural Networks against Multiple Black-Box
  Adversarial Attacks with Stochastic Multi-Expert Patcher
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher
Thai Le
Noseong Park
Dongwon Lee
AAML
8
20
0
17 Nov 2020
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective
  Genetic Optimization Guided By Deep Networks
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks
Alex Mathai
Shreya Khare
Srikanth G. Tamilselvam
Senthil Mani
AAML
36
6
0
08 Nov 2020
CharBERT: Character-aware Pre-trained Language Model
CharBERT: Character-aware Pre-trained Language Model
Wentao Ma
Yiming Cui
Chenglei Si
Ting Liu
Shijin Wang
Guoping Hu
31
104
0
03 Nov 2020
NeuSpell: A Neural Spelling Correction Toolkit
NeuSpell: A Neural Spelling Correction Toolkit
Sai Muralidhar Jayanthi
Danish Pruthi
Graham Neubig
KELM
LRM
16
64
0
21 Oct 2020
Comparison of Interactive Knowledge Base Spelling Correction Models for
  Low-Resource Languages
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages
Yiyuan Li
Antonios Anastasopoulos
A. Black
13
2
0
20 Oct 2020
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary
  Representations From Characters
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hicham El Boukkouri
Olivier Ferret
Thomas Lavergne
Hiroshi Noji
Pierre Zweigenbaum
Junichi Tsujii
77
156
0
20 Oct 2020
Word Shape Matters: Robust Machine Translation with Visual Embedding
Word Shape Matters: Robust Machine Translation with Visual Embedding
Haohan Wang
Peiyan Zhang
Eric Xing
148
13
0
20 Oct 2020
Mischief: A Simple Black-Box Attack Against Transformer Architectures
Mischief: A Simple Black-Box Attack Against Transformer Architectures
Adrian de Wynter
AAML
42
1
0
16 Oct 2020
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
Steffen Eger
Yannik Benz
AAML
19
45
0
12 Oct 2020
Second-Order NLP Adversarial Examples
Second-Order NLP Adversarial Examples
John X. Morris
AAML
20
0
0
05 Oct 2020
Learning to Attack: Towards Textual Adversarial Attacking in Real-world
  Situations
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
Yuan Zang
Bairu Hou
Fanchao Qi
Zhiyuan Liu
Xiaojun Meng
Maosong Sun
19
11
0
19 Sep 2020
Contextualized Perturbation for Textual Adversarial Attack
Contextualized Perturbation for Textual Adversarial Attack
Dianqi Li
Yizhe Zhang
Hao Peng
Liqun Chen
Chris Brockett
Ming-Ting Sun
Bill Dolan
AAML
SILM
15
229
0
16 Sep 2020
MALCOM: Generating Malicious Comments to Attack Neural Fake News
  Detection Models
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
Thai Le
Suhang Wang
Dongwon Lee
24
59
0
01 Sep 2020
FireBERT: Hardening BERT-based classifiers against adversarial attack
FireBERT: Hardening BERT-based classifiers against adversarial attack
Gunnar Mein
Kevin Hartman
Andrew Morris
SILM
AAML
16
0
0
10 Aug 2020
Adversarial Training with Fast Gradient Projection Method against
  Synonym Substitution based Text Attacks
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks
Xiaosen Wang
Yichen Yang
Yihe Deng
Kun He
OOD
AAML
18
3
0
09 Aug 2020
What's in a Name? Are BERT Named Entity Representations just as Good for
  any other Name?
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?
S. Balasubramanian
Naman Jain
G. Jindal
Abhijeet Awasthi
Sunita Sarawagi
OOD
23
25
0
14 Jul 2020
Natural Backdoor Attack on Text Data
Natural Backdoor Attack on Text Data
Lichao Sun
SILM
16
39
0
29 Jun 2020
Normalizing Text using Language Modelling based on Phonetics and String
  Similarity
Normalizing Text using Language Modelling based on Phonetics and String Similarity
F. Doshi
Jimit Gandhi
Deep Gosalia
Sudhir Bagul
6
1
0
25 Jun 2020
Adversarial Attacks and Defense on Texts: A Survey
Adversarial Attacks and Defense on Texts: A Survey
A. Huq
Mst. Tasnim Pervin
AAML
14
21
0
28 May 2020
Generating Semantically Valid Adversarial Questions for TableQA
Generating Semantically Valid Adversarial Questions for TableQA
Yi Zhu
Yiwei Zhou
Menglin Xia
AAML
18
5
0
26 May 2020
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