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Adversarial Attacks on Deep Learning Models in Natural Language
  Processing: A Survey

Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey

21 January 2019
W. Zhang
Quan Z. Sheng
A. Alhazmi
Chenliang Li
    AAML
ArXivPDFHTML

Papers citing "Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey"

14 / 14 papers shown
Title
Taxonomy of AISecOps Threat Modeling for Cloud Based Medical Chatbots
Taxonomy of AISecOps Threat Modeling for Cloud Based Medical Chatbots
Ruby Annette Jayaseela Dhanaraj
W. Banu
S. SharonPriya
Subash Chandran
21
3
0
18 May 2023
Identifying Adversarially Attackable and Robust Samples
Identifying Adversarially Attackable and Robust Samples
Vyas Raina
Mark J. F. Gales
AAML
25
3
0
30 Jan 2023
BERTops: Studying BERT Representations under a Topological Lens
BERTops: Studying BERT Representations under a Topological Lens
Jatin Chauhan
Manohar Kaul
16
3
0
02 May 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
171
86
0
06 Dec 2021
Mischief: A Simple Black-Box Attack Against Transformer Architectures
Mischief: A Simple Black-Box Attack Against Transformer Architectures
Adrian de Wynter
AAML
24
1
0
16 Oct 2020
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue
  Models
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models
Haochen Liu
Zhiwei Wang
Tyler Derr
Jiliang Tang
AAML
14
15
0
27 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
29
371
0
30 Apr 2020
Improving Sequence Modeling Ability of Recurrent Neural Networks via
  Sememes
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes
Yujia Qin
Fanchao Qi
Sicong Ouyang
Zhiyuan Liu
Cheng Yang
Yasheng Wang
Qun Liu
Maosong Sun
28
5
0
20 Oct 2019
Say What I Want: Towards the Dark Side of Neural Dialogue Models
Say What I Want: Towards the Dark Side of Neural Dialogue Models
Haochen Liu
Tyler Derr
Zitao Liu
Jiliang Tang
20
16
0
13 Sep 2019
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
187
711
0
17 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
201
1,367
0
06 Jun 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
214
1,327
0
05 Jun 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
1