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Generating Natural Language Adversarial Examples through An Improved
  Beam Search Algorithm

Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm

15 October 2021
Tengfei Zhao
Zhaocheng Ge
Han Hu
Di Shi
    AAML
ArXivPDFHTML

Papers citing "Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm"

5 / 5 papers shown
Title
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
Chris Emmery
Ákos Kádár
Grzegorz Chrupała
Walter Daelemans
12
5
0
17 Jan 2022
A Highly Effective Low-Rank Compression of Deep Neural Networks with
  Modified Beam-Search and Modified Stable Rank
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Moonjung Eo
Suhyun Kang
Wonjong Rhee
11
1
0
30 Nov 2021
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
243
914
0
21 Apr 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
250
13,347
0
25 Aug 2014
1