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OpenAttack: An Open-source Textual Adversarial Attack Toolkit

OpenAttack: An Open-source Textual Adversarial Attack Toolkit

19 September 2020
Guoyang Zeng
Fanchao Qi
Qianrui Zhou
Ting Zhang
Zixian Ma
Bairu Hou
Yuan Zang
Zhiyuan Liu
Maosong Sun
    AAML
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Papers citing "OpenAttack: An Open-source Textual Adversarial Attack Toolkit"

27 / 27 papers shown
Title
Toward Stronger Textual Attack Detectors
Toward Stronger Textual Attack Detectors
Pierre Colombo
Marine Picot
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
51
5
0
21 Oct 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based
  Explanations
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Nils Feldhus
Qianli Wang
Tatiana Anikina
Sahil Chopra
Cennet Oguz
Sebastian Möller
32
9
0
09 Oct 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a
  Unified Automatic Robustness Evaluation Framework
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Lifan Yuan
Dehan Kong
...
Longtao Huang
H. Xue
Zhiyuan Liu
Maosong Sun
Heng Ji
AAML
ELM
27
6
0
29 May 2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model,
  Data, and Training
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
Hao Fei
Tat-Seng Chua
Chenliang Li
Donghong Ji
Meishan Zhang
Yafeng Ren
35
39
0
19 Apr 2023
Data Augmentation for Neural NLP
Data Augmentation for Neural NLP
Domagoj Pluscec
Jan Snajder
16
6
0
22 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 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
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models
  of Different Modalities
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
Zhe Zhao
Yudong Li
Cheng-An Hou
Jing-xin Zhao
Rong Tian
...
Xingwu Sun
Zhanhui Kang
Xiaoyong Du
Linlin Shen
Kimmo Yan
VLM
41
23
0
13 Dec 2022
Ignore Previous Prompt: Attack Techniques For Language Models
Ignore Previous Prompt: Attack Techniques For Language Models
Fábio Perez
Ian Ribeiro
SILM
30
397
0
17 Nov 2022
Accelerating Adversarial Perturbation by 50% with Semi-backward
  Propagation
Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation
Zhiqi Bu
AAML
25
0
0
09 Nov 2022
MPCFormer: fast, performant and private Transformer inference with MPC
MPCFormer: fast, performant and private Transformer inference with MPC
Dacheng Li
Rulin Shao
Hongyi Wang
Han Guo
Eric P. Xing
Haotong Zhang
13
79
0
02 Nov 2022
TCAB: A Large-Scale Text Classification Attack Benchmark
TCAB: A Large-Scale Text Classification Attack Benchmark
Kalyani Asthana
Zhouhang Xie
Wencong You
Adam Noack
Jonathan Brophy
Sameer Singh
Daniel Lowd
39
3
0
21 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
14
45
0
19 Oct 2022
Constraining Representations Yields Models That Know What They Don't
  Know
Constraining Representations Yields Models That Know What They Don't Know
João Monteiro
Pau Rodríguez López
Pierre-Andre Noel
I. Laradji
David Vazquez
AAML
41
0
0
30 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in
  Natural Language Understanding Dataset
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset
Zhihua Jin
Xingbo Wang
Furui Cheng
Chunhui Sun
Qun Liu
Huamin Qu
32
9
0
17 Aug 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Alexander Gaskell
Yishu Miao
Lucia Specia
Francesca Toni
AAML
18
7
0
29 Apr 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei-Ye Zhao
Yang Gao
Steffen Eger
AAML
ELM
24
20
0
21 Mar 2022
$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale
  Pre-Trained Models via Label Representation Learning
Y\mathcal{Y}Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning
Yitao Liu
Chen An
Xipeng Qiu
29
17
0
20 Feb 2022
Identifying Adversarial Attacks on Text Classifiers
Identifying Adversarial Attacks on Text Classifiers
Zhouhang Xie
Jonathan Brophy
Adam Noack
Wencong You
Kalyani Asthana
Carter Perkins
Sabrina Reis
Sameer Singh
Daniel Lowd
AAML
27
9
0
21 Jan 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
Xiang Ling
Lingfei Wu
Jiangyu Zhang
Zhenqing Qu
Wei Deng
...
Chunming Wu
S. Ji
Tianyue Luo
Jingzheng Wu
Yanjun Wu
AAML
34
73
0
23 Dec 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
24
214
0
04 Nov 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
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
48
95
0
27 Aug 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
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
213
1,654
0
16 Mar 2020
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
245
914
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
199
711
0
17 Apr 2018
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