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TextBugger: Generating Adversarial Text Against Real-world Applications

TextBugger: Generating Adversarial Text Against Real-world Applications

13 December 2018
Jinfeng Li
S. Ji
Tianyu Du
Bo Li
Ting Wang
    SILM
    AAML
ArXivPDFHTML

Papers citing "TextBugger: Generating Adversarial Text Against Real-world Applications"

50 / 382 papers shown
Title
An Adversarial Benchmark for Fake News Detection Models
An Adversarial Benchmark for Fake News Detection Models
Lorenzo Jaime Yu Flores
Sophie Hao
24
10
0
03 Jan 2022
Repairing Adversarial Texts through Perturbation
Repairing Adversarial Texts through Perturbation
Guoliang Dong
Jingyi Wang
Jun Sun
Sudipta Chattopadhyay
Xinyu Wang
Ting Dai
Jie Shi
J. Dong
AAML
25
2
0
29 Dec 2021
NeuronFair: Interpretable White-Box Fairness Testing through Biased
  Neuron Identification
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
Haibin Zheng
Zhiqing Chen
Tianyu Du
Xuhong Zhang
Yao Cheng
S. Ji
Jingyi Wang
Yue Yu
Jinyin Chen
18
51
0
25 Dec 2021
Understanding and Measuring Robustness of Multimodal Learning
Understanding and Measuring Robustness of Multimodal Learning
Nishant Vishwamitra
Hongxin Hu
Ziming Zhao
Long Cheng
Feng Luo
AAML
27
5
0
22 Dec 2021
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
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Adversarial Examples for Extreme Multilabel Text Classification
Adversarial Examples for Extreme Multilabel Text Classification
Mohammadreza Qaraei
Rohit Babbar
18
6
0
14 Dec 2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction
  Models in Healthcare
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare
Muchao Ye
Junyu Luo
Guanjie Zheng
Cao Xiao
Ting Wang
Fenglong Ma
AAML
35
3
0
11 Dec 2021
Adversarial machine learning for protecting against online manipulation
Adversarial machine learning for protecting against online manipulation
S. Cresci
M. Petrocchi
A. Spognardi
Stefano Tognazzi
AAML
28
9
0
23 Nov 2021
Improving the robustness and accuracy of biomedical language models
  through adversarial training
Improving the robustness and accuracy of biomedical language models through adversarial training
M. Moradi
Matthias Samwald
AAML
OOD
MedIm
48
10
0
16 Nov 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of
  Language Models
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Wei Ping
Chejian Xu
Shuohang Wang
Zhe Gan
Yu Cheng
Jianfeng Gao
Ahmed Hassan Awadallah
Yangqiu Song
VLM
ELM
AAML
33
216
0
04 Nov 2021
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Xingjian Shi
Jonas W. Mueller
Nick Erickson
Mu Li
Alexander J. Smola
LMTD
42
29
0
04 Nov 2021
AdvCodeMix: Adversarial Attack on Code-Mixed Data
AdvCodeMix: Adversarial Attack on Code-Mixed Data
Sourya Dipta Das
Ayan Basak
Soumil Mandal
Dipankar Das
AAML
19
3
0
30 Oct 2021
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial
  Attack Framework
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
Lifan Yuan
Yichi Zhang
Yangyi Chen
Wei Wei
AAML
27
33
0
28 Oct 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
34
16
0
26 Oct 2021
Alignment Attention by Matching Key and Query Distributions
Alignment Attention by Matching Key and Query Distributions
Shujian Zhang
Xinjie Fan
Huangjie Zheng
Korawat Tanwisuth
Mingyuan Zhou
OOD
37
10
0
25 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
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text
  Style Transfer
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
Fanchao Qi
Yangyi Chen
Xurui Zhang
Mukai Li
Zhiyuan Liu
Maosong Sun
AAML
SILM
82
175
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
Breaking BERT: Understanding its Vulnerabilities for Named Entity
  Recognition through Adversarial Attack
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial Attack
A. Dirkson
Suzan Verberne
Wessel Kraaij
SILM
14
4
0
23 Sep 2021
Avengers Ensemble! Improving Transferability of Authorship Obfuscation
Avengers Ensemble! Improving Transferability of Authorship Obfuscation
Muhammad Haroon
Muhammad Fareed Zaffar
P. Srinivasan
Zubair Shafiq
AAML
27
9
0
15 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
186
27
0
14 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
31
7
0
13 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
TREATED:Towards Universal Defense against Textual Adversarial Attacks
TREATED:Towards Universal Defense against Textual Adversarial Attacks
Bin Zhu
Zhaoquan Gu
Le Wang
Zhihong Tian
AAML
36
8
0
13 Sep 2021
A Strong Baseline for Query Efficient Attacks in a Black Box Setting
A Strong Baseline for Query Efficient Attacks in a Black Box Setting
Rishabh Maheshwary
Saket Maheshwary
Vikram Pudi
AAML
30
30
0
10 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
Searching for an Effective Defender: Benchmarking Defense against
  Adversarial Word Substitution
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Zongyi Li
Jianhan Xu
Jiehang Zeng
Linyang Li
Xiaoqing Zheng
Qi Zhang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
8
74
0
29 Aug 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series
ASAT: Adaptively Scaled Adversarial Training in Time Series
Zhiyuan Zhang
Wei Li
Ruihan Bao
Keiko Harimoto
Yunfang Wu
Xu Sun
AI4TS
27
5
0
20 Aug 2021
Attacks against Ranking Algorithms with Text Embeddings: a Case Study on
  Recruitment Algorithms
Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms
A. Samadi
Debapriya Banerjee
Shirin Nilizadeh
51
1
0
12 Aug 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language
  Processing
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
Sanchit Sinha
Hanjie Chen
Arshdeep Sekhon
Yangfeng Ji
Yanjun Qi
AAML
FAtt
33
42
0
11 Aug 2021
Towards Making Deep Learning-based Vulnerability Detectors Robust
Towards Making Deep Learning-based Vulnerability Detectors Robust
Zhen Li
Jing Tang
Deqing Zou
Qian Chen
Shouhuai Xu
Chao Zhang
Yichen Li
Hai Jin
AAML
11
9
0
02 Aug 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
Feature-Filter: Detecting Adversarial Examples through Filtering off
  Recessive Features
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Hui Liu
Bo Zhao
Minzhi Ji
Yuefeng Peng
Jiabao Guo
Peng Liu
AAML
23
2
0
19 Jul 2021
Probabilistic Verification of Neural Networks Against Group Fairness
Probabilistic Verification of Neural Networks Against Group Fairness
Bing-Jie Sun
Jun Sun
Ting Dai
Lijun Zhang
AAML
21
22
0
18 Jul 2021
Automatic Fairness Testing of Neural Classifiers through Adversarial
  Sampling
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
Peixin Zhang
Jingyi Wang
Jun Sun
Xinyu Wang
Guoliang Dong
Xingen Wang
Ting Dai
Jin Song Dong
11
24
0
17 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
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video
  Recognition Systems
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
Shangyu Xie
Han Wang
Yu Kong
Yuan Hong
AAML
19
25
0
09 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
TDGIA:Effective Injection Attacks on Graph Neural Networks
TDGIA:Effective Injection Attacks on Graph Neural Networks
Xu Zou
Qinkai Zheng
Yuxiao Dong
Xinyu Guan
Evgeny Kharlamov
Jialiang Lu
Jie Tang
AAML
45
100
0
12 Jun 2021
Bayesian Attention Belief Networks
Bayesian Attention Belief Networks
Shujian Zhang
Xinjie Fan
Bo Chen
Mingyuan Zhou
BDL
32
30
0
09 Jun 2021
On the Interplay Between Fine-tuning and Composition in Transformers
On the Interplay Between Fine-tuning and Composition in Transformers
Lang-Chi Yu
Allyson Ettinger
33
14
0
31 May 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
Jiehang Zeng
Xiaoqing Zheng
Jianhan Xu
Linyang Li
Liping Yuan
Xuanjing Huang
AAML
26
67
0
08 May 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
Hidden Backdoors in Human-Centric Language Models
Hidden Backdoors in Human-Centric Language Models
Shaofeng Li
Hui Liu
Tian Dong
Benjamin Zi Hao Zhao
Minhui Xue
Haojin Zhu
Jialiang Lu
SILM
35
147
0
01 May 2021
Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
Vladislav Mikhailov
O. Serikov
Ekaterina Artemova
12
9
0
26 Apr 2021
An Adversarially-Learned Turing Test for Dialog Generation Models
An Adversarially-Learned Turing Test for Dialog Generation Models
Xiang Gao
Yizhe Zhang
Michel Galley
Bill Dolan
AAML
20
2
0
16 Apr 2021
Towards Variable-Length Textual Adversarial Attacks
Towards Variable-Length Textual Adversarial Attacks
Junliang Guo
Zhirui Zhang
Linlin Zhang
Linli Xu
Boxing Chen
Enhong Chen
Weihua Luo
AAML
81
6
0
16 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
106
228
0
15 Apr 2021
Fall of Giants: How popular text-based MLaaS fall against a simple
  evasion attack
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack
Luca Pajola
Mauro Conti
14
28
0
13 Apr 2021
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