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On Adversarial Examples for Character-Level Neural Machine Translation

On Adversarial Examples for Character-Level Neural Machine Translation

23 June 2018
J. Ebrahimi
Daniel Lowd
Dejing Dou
    AAML
ArXivPDFHTML

Papers citing "On Adversarial Examples for Character-Level Neural Machine Translation"

40 / 40 papers shown
Title
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
Zhenhao Li
Huichi Zhou
Marek Rei
Lucia Specia
DiffM
26
0
0
28 Jun 2024
Machine Translation Testing via Syntactic Tree Pruning
Machine Translation Testing via Syntactic Tree Pruning
Quanjun Zhang
Juan Zhai
Chunrong Fang
Jiawei Liu
Dongrui Liu
Haichuan Hu
Qingyu Wang
23
3
0
01 Jan 2024
A Classification-Guided Approach for Adversarial Attacks against Neural
  Machine Translation
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
AAML
SILM
40
2
0
29 Aug 2023
Iterative Adversarial Attack on Image-guided Story Ending Generation
Iterative Adversarial Attack on Image-guided Story Ending Generation
Youze Wang
Wenbo Hu
Richang Hong
32
3
0
16 May 2023
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input
  Noises
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
Chenglei Si
Zhengyan Zhang
Yingfa Chen
Xiaozhi Wang
Zhiyuan Liu
Maosong Sun
AAML
26
1
0
14 Feb 2023
TransFool: An Adversarial Attack against Neural Machine Translation
  Models
TransFool: An Adversarial Attack against Neural Machine Translation Models
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
SILM
AAML
39
12
0
02 Feb 2023
Understanding and Detecting Hallucinations in Neural Machine Translation
  via Model Introspection
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection
Weijia Xu
Sweta Agrawal
Eleftheria Briakou
Marianna J. Martindale
Marine Carpuat
HILM
27
46
0
18 Jan 2023
Capabilities for Better ML Engineering
Capabilities for Better ML Engineering
Chenyang Yang
Rachel A. Brower-Sinning
Grace A. Lewis
Christian Kastner
Tongshuang Wu
24
3
0
11 Nov 2022
Character-level White-Box Adversarial Attacks against Transformers via
  Attachable Subwords Substitution
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
Aiwei Liu
Honghai Yu
Xuming Hu
Shuang Li
Li Lin
Fukun Ma
Yawen Yang
Lijie Wen
36
33
0
31 Oct 2022
Scaling Laws for Reward Model Overoptimization
Scaling Laws for Reward Model Overoptimization
Leo Gao
John Schulman
Jacob Hilton
ALM
41
475
0
19 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the
  Research Paradigm in Adversarial NLP
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Fanchao Qi
Longtao Huang
Zhiyuan Liu
Maosong Sun
SILM
17
45
0
19 Oct 2022
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary
  Capabilities and Robustness of Char-Based Models
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models
José Carlos Rosales Núnez
Guolong Su
Djamé Seddah
25
8
0
24 Oct 2021
Doubly-Trained Adversarial Data Augmentation for Neural Machine
  Translation
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
Weiting Tan
Shuoyang Ding
Huda Khayrallah
Philipp Koehn
SILM
AAML
23
1
0
12 Oct 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning
Multi-granularity Textual Adversarial Attack with Behavior Cloning
Yangyi Chen
Jingtong Su
Wei Wei
AAML
17
32
0
09 Sep 2021
Masked Adversarial Generation for Neural Machine Translation
Masked Adversarial Generation for Neural Machine Translation
Badr Youbi Idrissi
S. Clinchant
AAML
29
0
0
01 Sep 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language
  Navigation
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
Bingqian Lin
Yi Zhu
Yanxin Long
Xiaodan Liang
QiXiang Ye
Liang Lin
AAML
39
16
0
23 Jul 2021
Localized Uncertainty Attacks
Localized Uncertainty Attacks
Ousmane Amadou Dia
Theofanis Karaletsos
C. Hazirbas
Cristian Canton Ferrer
I. Kabul
E. Meijer
AAML
24
2
0
17 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
28
172
0
14 Jun 2021
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine Translation
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
156
44
0
31 May 2021
Addressing the Vulnerability of NMT in Input Perturbations
Addressing the Vulnerability of NMT in Input Perturbations
Weiwen Xu
A. Aw
Yang Ding
Kui Wu
Shafiq R. Joty
AAML
29
10
0
20 Apr 2021
Neural Machine Translation: A Review of Methods, Resources, and Tools
Neural Machine Translation: A Review of Methods, Resources, and Tools
Zhixing Tan
Shuo Wang
Zonghan Yang
Gang Chen
Xuancheng Huang
Maosong Sun
Yang Liu
3DV
AI4TS
17
105
0
31 Dec 2020
SemMT: A Semantic-based Testing Approach for Machine Translation Systems
SemMT: A Semantic-based Testing Approach for Machine Translation Systems
Jialun Cao
Meiziniu Li
Yeting Li
Ming Wen
Haiming Chen
36
33
0
03 Dec 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
20
104
0
03 Nov 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
Counterfactual Variable Control for Robust and Interpretable Question
  Answering
Counterfactual Variable Control for Robust and Interpretable Question Answering
S. Yu
Yulei Niu
Shuohang Wang
Jing Jiang
Qianru Sun
AAML
OOD
42
9
0
12 Oct 2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
Yong Cheng
Lu Jiang
Wolfgang Macherey
Jacob Eisenstein
29
115
0
21 Jun 2020
Robust Encodings: A Framework for Combating Adversarial Typos
Robust Encodings: A Framework for Combating Adversarial Typos
Erik Jones
Robin Jia
Aditi Raghunathan
Percy Liang
AAML
142
102
0
04 May 2020
Weight Poisoning Attacks on Pre-trained Models
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita
Paul Michel
Graham Neubig
AAML
SILM
28
432
0
14 Apr 2020
Stress Test Evaluation of Transformer-based Models in Natural Language
  Understanding Tasks
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks
Carlos Aspillaga
Andrés Carvallo
Vladimir Araujo
ELM
39
31
0
14 Feb 2020
A Reinforced Generation of Adversarial Examples for Neural Machine
  Translation
A Reinforced Generation of Adversarial Examples for Neural Machine Translation
Wei Zou
Shujian Huang
Jun Xie
Xinyu Dai
Jiajun Chen
AAML
SILM
32
26
0
09 Nov 2019
Adversarial Attacks on GMM i-vector based Speaker Verification Systems
Adversarial Attacks on GMM i-vector based Speaker Verification Systems
Xu Li
Jinghua Zhong
Xixin Wu
Jianwei Yu
Xunying Liu
Helen Meng
AAML
21
78
0
08 Nov 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace
Shi Feng
Nikhil Kandpal
Matt Gardner
Sameer Singh
AAML
SILM
45
836
0
20 Aug 2019
Structure-Invariant Testing for Machine Translation
Structure-Invariant Testing for Machine Translation
Pinjia He
Clara Meister
Z. Su
27
104
0
19 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural
  Language Inference
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
24
94
0
09 Jul 2019
Robust Neural Machine Translation with Doubly Adversarial Inputs
Robust Neural Machine Translation with Doubly Adversarial Inputs
Yong Cheng
Lu Jiang
Wolfgang Macherey
AAML
19
254
0
06 Jun 2019
Combating Adversarial Misspellings with Robust Word Recognition
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
8
300
0
27 May 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks
POPQORN: Quantifying Robustness of Recurrent Neural Networks
Ching-Yun Ko
Zhaoyang Lyu
Tsui-Wei Weng
Luca Daniel
Ngai Wong
Dahua Lin
AAML
17
75
0
17 May 2019
Detecting Overfitting via Adversarial Examples
Detecting Overfitting via Adversarial Examples
Roman Werpachowski
András Gyorgy
Csaba Szepesvári
TDI
20
45
0
06 Mar 2019
Adversarial Attacks on Deep Learning Models in Natural Language
  Processing: A Survey
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
W. Zhang
Quan Z. Sheng
A. Alhazmi
Chenliang Li
AAML
24
57
0
21 Jan 2019
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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