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On Evaluation of Adversarial Perturbations for Sequence-to-Sequence
  Models

On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

15 March 2019
Paul Michel
Xian Li
Graham Neubig
J. Pino
    AAML
ArXivPDFHTML

Papers citing "On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models"

38 / 38 papers shown
Title
Desiderata for the Context Use of Question Answering Systems
Desiderata for the Context Use of Question Answering Systems
Sagi Shaier
Lawrence E Hunter
K. Wense
28
4
0
31 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
44
2
0
29 Aug 2023
Can NLP Models Correctly Reason Over Contexts that Break the Common
  Assumptions?
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Neeraj Varshney
Mihir Parmar
Nisarg Patel
Divij Handa
Sayantan Sarkar
Man Luo
Chitta Baral
LRM
34
4
0
20 May 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
36
3
0
16 May 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
Precisely the Point: Adversarial Augmentations for Faithful and
  Informative Text Generation
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Sujian Li
Yajuan Lyu
39
3
0
22 Oct 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
AEON: A Method for Automatic Evaluation of NLP Test Cases
Jen-tse Huang
Jianping Zhang
Wenxuan Wang
Pinjia He
Yuxin Su
Michael R. Lyu
40
23
0
13 May 2022
Unifying Model Explainability and Robustness for Joint Text
  Classification and Rationale Extraction
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
Dongfang Li
Baotian Hu
Qingcai Chen
Tujie Xu
Jingcong Tao
Yunan Zhang
32
12
0
20 Dec 2021
Adversarial Attacks and Defenses for Social Network Text Processing
  Applications: Techniques, Challenges and Future Research Directions
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
AAML
27
16
0
26 Oct 2021
CLLD: Contrastive Learning with Label Distance for Text Classification
CLLD: Contrastive Learning with Label Distance for Text Classification
Jinhe Lan
Qingyuan Zhan
Chenhao Jiang
Kunping Yuan
Desheng Wang
VLM
34
2
0
25 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
35
1
0
12 Oct 2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in
  Symbolic Mathematics
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics
Sean Welleck
Peter West
Jize Cao
Yejin Choi
21
28
0
28 Sep 2021
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
Swapnil Parekh
Yaman Kumar Singla
Somesh Singh
Changyou Chen
Balaji Krishnamurthy
R. Shah
AAML
24
3
0
25 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for
  Fine-tuning Pre-trained Models
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Kun Zhou
Wayne Xin Zhao
Sirui Wang
Fuzheng Zhang
Wei Wu
Ji-Rong Wen
AAML
29
7
0
13 Sep 2021
Masked Adversarial Generation for Neural Machine Translation
Masked Adversarial Generation for Neural Machine Translation
Badr Youbi Idrissi
S. Clinchant
AAML
32
0
0
01 Sep 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
39
115
0
01 Jul 2021
Bad Characters: Imperceptible NLP Attacks
Bad Characters: Imperceptible NLP Attacks
Nicholas Boucher
Ilia Shumailov
Ross J. Anderson
Nicolas Papernot
AAML
SILM
41
103
0
18 Jun 2021
Reliability Testing for Natural Language Processing Systems
Reliability Testing for Natural Language Processing Systems
Samson Tan
Chenyu You
K. Baxter
Araz Taeihagh
G. Bennett
Min-Yen Kan
15
38
0
06 May 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
Samson Tan
Chenyu You
AAML
29
35
0
17 Mar 2021
Towards Neural Programming Interfaces
Towards Neural Programming Interfaces
Zachary Brown
Nathaniel R. Robinson
David Wingate
Nancy Fulda
AI4CE
20
5
0
10 Dec 2020
Concealed Data Poisoning Attacks on NLP Models
Concealed Data Poisoning Attacks on NLP Models
Eric Wallace
Tony Zhao
Shi Feng
Sameer Singh
SILM
19
18
0
23 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
37
115
0
21 Jun 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood
  Ensemble
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble
Yi Zhou
Xiaoqing Zheng
Cho-Jui Hsieh
Kai-Wei Chang
Xuanjing Huang
SILM
39
48
0
20 Jun 2020
It's Morphin' Time! Combating Linguistic Discrimination with
  Inflectional Perturbations
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations
Samson Tan
Chenyu You
Min-Yen Kan
R. Socher
166
103
0
09 May 2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems
Imitation Attacks and Defenses for Black-box Machine Translation Systems
Eric Wallace
Mitchell Stern
D. Song
AAML
19
119
0
30 Apr 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and
  Adversarial Training in NLP
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
John X. Morris
Eli Lifland
Jin Yong Yoo
J. E. Grigsby
Di Jin
Yanjun Qi
SILM
27
69
0
29 Apr 2020
Reevaluating Adversarial Examples in Natural Language
Reevaluating Adversarial Examples in Natural Language
John X. Morris
Eli Lifland
Jack Lanchantin
Yangfeng Ji
Yanjun Qi
SILM
AAML
20
111
0
25 Apr 2020
Weight Poisoning Attacks on Pre-trained Models
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita
Paul Michel
Graham Neubig
AAML
SILM
33
434
0
14 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner
Yoav Artzi
Victoria Basmova
Jonathan Berant
Ben Bogin
...
Sanjay Subramanian
Reut Tsarfaty
Eric Wallace
Ally Zhang
Ben Zhou
ELM
43
84
0
06 Apr 2020
Generating Natural Language Adversarial Examples on a Large Scale with
  Generative Models
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models
Yankun Ren
J. Lin
Siliang Tang
Jun Zhou
Shuang Yang
Yuan Qi
Xiang Ren
GAN
AAML
SILM
32
21
0
10 Mar 2020
Adv-BERT: BERT is not robust on misspellings! Generating nature
  adversarial samples on BERT
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
Lichao Sun
Kazuma Hashimoto
Wenpeng Yin
Akari Asai
Jia Li
Philip Yu
Caiming Xiong
SILM
AAML
12
101
0
27 Feb 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
20
311
0
04 Dec 2019
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
On the use of BERT for Neural Machine Translation
On the use of BERT for Neural Machine Translation
S. Clinchant
K. Jung
Vassilina Nikoulina
21
89
0
27 Sep 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
60
837
0
20 Aug 2019
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
258
915
0
21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
205
712
0
17 Apr 2018
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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