ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.05271
  4. Cited By
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"

32 / 382 papers shown
Title
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical
  Systems
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
K. Tomsovic
Jin Young Lee
AAML
28
52
0
12 Mar 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
Search Space of Adversarial Perturbations against Image Filters
Search Space of Adversarial Perturbations against Image Filters
D. D. Thang
Toshihiro Matsui
AAML
14
1
0
05 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
Benchmarking Popular Classification Models' Robustness to Random and
  Targeted Corruptions
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Utkarsh Desai
Srikanth G. Tamilselvam
Jassimran Kaur
Senthil Mani
Shreya Khare
6
1
0
31 Jan 2020
FastWordBug: A Fast Method To Generate Adversarial Text Against NLP
  Applications
FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications
Dou Goodman
Zhonghou Lv
Minghua Wang
AAML
19
6
0
31 Jan 2020
Elephant in the Room: An Evaluation Framework for Assessing Adversarial
  Examples in NLP
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP
Ying Xu
Xu Zhong
Antonio Jimeno Yepes
Jey Han Lau
AAML
27
10
0
22 Jan 2020
Advbox: a toolbox to generate adversarial examples that fool neural
  networks
Advbox: a toolbox to generate adversarial examples that fool neural networks
Dou Goodman
Xin Hao
Yang Wang
Yuesheng Wu
Junfeng Xiong
Huan Zhang
AAML
15
53
0
13 Jan 2020
Exploring and Improving Robustness of Multi Task Deep Neural Networks
  via Domain Agnostic Defenses
Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses
Kashyap Coimbatore Murali
AAML
OOD
16
0
0
11 Jan 2020
To Transfer or Not to Transfer: Misclassification Attacks Against
  Transfer Learned Text Classifiers
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
Bijeeta Pal
Shruti Tople
AAML
23
9
0
08 Jan 2020
T3: Tree-Autoencoder Constrained Adversarial Text Generation for
  Targeted Attack
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack
Wei Ping
Hengzhi Pei
Boyuan Pan
Han Liu
Shuohang Wang
Yangqiu Song
AAML
19
6
0
22 Dec 2019
Towards Robust Toxic Content Classification
Towards Robust Toxic Content Classification
Keita Kurita
A. Belova
Antonios Anastasopoulos
AAML
16
30
0
14 Dec 2019
Intriguing Properties of Adversarial ML Attacks in the Problem Space
  [Extended Version]
Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]
Jacopo Cortellazzi
Feargus Pendlebury
Daniel Arp
Erwin Quiring
Fabio Pierazzi
Lorenzo Cavallaro
AAML
27
0
0
05 Nov 2019
Universal Adversarial Perturbation for Text Classification
Universal Adversarial Perturbation for Text Classification
Hang Gao
Tim Oates
AAML
13
15
0
10 Oct 2019
A Visual Analytics Framework for Adversarial Text Generation
A Visual Analytics Framework for Adversarial Text Generation
Brandon Laughlin
C. Collins
K. Sankaranarayanan
K. El-Khatib
AAML
22
10
0
24 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Jiliang Tang
Anil K. Jain
AAML
33
668
0
17 Sep 2019
Natural Language Adversarial Defense through Synonym Encoding
Natural Language Adversarial Defense through Synonym Encoding
Xiaosen Wang
Hao Jin
Yichen Yang
Kun He
AAML
14
62
0
15 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
143
161
0
10 Sep 2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan
  Backdoors in AI Systems
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Wenbo Guo
Lun Wang
Masashi Sugiyama
Min Du
D. Song
30
227
0
02 Aug 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on
  Text Classification and Entailment
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin
Zhijing Jin
Qiufeng Wang
Peter Szolovits
SILM
AAML
29
1,050
0
27 Jul 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
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
21
187
0
29 May 2019
Misleading Authorship Attribution of Source Code using Adversarial
  Learning
Misleading Authorship Attribution of Source Code using Adversarial Learning
Erwin Quiring
Alwin Maier
Konrad Rieck
11
107
0
29 May 2019
Generalizable Adversarial Attacks with Latent Variable Perturbation
  Modelling
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling
A. Bose
Andre Cianflone
William L. Hamilton
OOD
AAML
19
7
0
26 May 2019
Grammar Based Directed Testing of Machine Learning Systems
Grammar Based Directed Testing of Machine Learning Systems
Sakshi Udeshi
Sudipta Chattopadhyay
21
15
0
26 Feb 2019
Towards a Robust Deep Neural Network in Texts: A Survey
Towards a Robust Deep Neural Network in Texts: A Survey
Wenqi Wang
Benxiao Tang
Run Wang
Lina Wang
Aoshuang Ye
AAML
26
39
0
12 Feb 2019
Defense Methods Against Adversarial Examples for Recurrent Neural
  Networks
Defense Methods Against Adversarial Examples for Recurrent Neural Networks
Ishai Rosenberg
A. Shabtai
Yuval Elovici
Lior Rokach
AAML
GAN
27
42
0
28 Jan 2019
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems
Tianyu Du
S. Ji
Jinfeng Li
Qinchen Gu
Ting Wang
R. Beyah
AAML
8
127
0
23 Jan 2019
Stealing Neural Networks via Timing Side Channels
Stealing Neural Networks via Timing Side Channels
Vasisht Duddu
D. Samanta
D. V. Rao
V. Balas
AAML
MLAU
FedML
27
133
0
31 Dec 2018
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
Learning Robust Representations of Text
Learning Robust Representations of Text
Yitong Li
Trevor Cohn
Timothy Baldwin
OOD
154
15
0
20 Sep 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
270
13,368
0
25 Aug 2014
Previous
12345678