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Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with
  Adversarial Examples

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

3 March 2018
Minhao Cheng
Jinfeng Yi
Pin-Yu Chen
Huan Zhang
Cho-Jui Hsieh
    SILM
    AAML
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Papers citing "Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples"

16 / 66 papers shown
Title
Universal Adversarial Triggers for Attacking and Analyzing NLP
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace
Shi Feng
Nikhil Kandpal
Matt Gardner
Sameer Singh
AAML
SILM
60
839
0
20 Aug 2019
TIGS: An Inference Algorithm for Text Infilling with Gradient Search
TIGS: An Inference Algorithm for Text Infilling with Gradient Search
Dayiheng Liu
Jie Fu
Pengfei Liu
Jiancheng Lv
DiffM
18
27
0
26 May 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks
POPQORN: Quantifying Robustness of Recurrent Neural Networks
Ching-Yun Ko
Zhaoyang Lyu
Tsui-Wei Weng
Luca Daniel
Ngai Wong
Dahua Lin
AAML
17
75
0
17 May 2019
Negative Training for Neural Dialogue Response Generation
Negative Training for Neural Dialogue Response Generation
Tianxing He
James R. Glass
30
59
0
06 Mar 2019
Robust Decision Trees Against Adversarial Examples
Robust Decision Trees Against Adversarial Examples
Hongge Chen
Huan Zhang
Duane S. Boning
Cho-Jui Hsieh
AAML
22
116
0
27 Feb 2019
Adversarial Attacks on Deep Learning Models in Natural Language
  Processing: A Survey
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
W. Zhang
Quan Z. Sheng
A. Alhazmi
Chenliang Li
AAML
24
57
0
21 Jan 2019
TextBugger: Generating Adversarial Text Against Real-world Applications
TextBugger: Generating Adversarial Text Against Real-world Applications
Jinfeng Li
S. Ji
Tianyu Du
Bo Li
Ting Wang
SILM
AAML
75
723
0
13 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with
  Applications to Text Classification
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
Qi Lei
Lingfei Wu
Pin-Yu Chen
A. Dimakis
Inderjit S. Dhillon
Michael Witbrock
AAML
15
92
0
01 Dec 2018
Attack Graph Convolutional Networks by Adding Fake Nodes
Attack Graph Convolutional Networks by Adding Fake Nodes
Xiaoyun Wang
Minhao Cheng
Joe Eaton
Cho-Jui Hsieh
S. F. Wu
AAML
GNN
33
78
0
25 Oct 2018
Query-Efficient Black-Box Attack by Active Learning
Query-Efficient Black-Box Attack by Active Learning
Pengcheng Li
Jinfeng Yi
Lijun Zhang
AAML
MLAU
21
54
0
13 Sep 2018
Detecting egregious responses in neural sequence-to-sequence models
Detecting egregious responses in neural sequence-to-sequence models
Tianxing He
James R. Glass
AAML
29
22
0
11 Sep 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the
  Robustness of 18 Deep Image Classification Models
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D. Su
Huan Zhang
Hongge Chen
Jinfeng Yi
Pin-Yu Chen
Yupeng Gao
VLM
40
389
0
05 Aug 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based
  Approach
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
Minhao Cheng
Thong Le
Pin-Yu Chen
Jinfeng Yi
Huan Zhang
Cho-Jui Hsieh
AAML
37
346
0
12 Jul 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
916
0
21 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,847
0
08 Jul 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
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