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1604.08275
Cited By
Crafting Adversarial Input Sequences for Recurrent Neural Networks
28 April 2016
Nicolas Papernot
Patrick McDaniel
A. Swami
Richard E. Harang
AAML
GAN
SILM
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Papers citing
"Crafting Adversarial Input Sequences for Recurrent Neural Networks"
50 / 206 papers shown
Title
Interpretable Adversarial Training for Text
Samuel Barham
Soheil Feizi
AAML
55
17
0
30 May 2019
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
86
191
0
29 May 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks
Ching-Yun Ko
Zhaoyang Lyu
Tsui-Wei Weng
Luca Daniel
Ngai Wong
Dahua Lin
AAML
66
76
0
17 May 2019
Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces
Takamasa Okudono
Masaki Waga
Taro Sekiyama
I. Hasuo
109
37
0
05 Apr 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
Paul Michel
Xian Li
Graham Neubig
J. Pino
AAML
76
136
0
15 Mar 2019
Negative Training for Neural Dialogue Response Generation
Tianxing He
James R. Glass
87
61
0
06 Mar 2019
Towards a Robust Deep Neural Network in Texts: A Survey
Wenqi Wang
Benxiao Tang
Run Wang
Lina Wang
Aoshuang Ye
AAML
99
39
0
12 Feb 2019
Optimal Attack against Autoregressive Models by Manipulating the Environment
Yiding Chen
Xiaojin Zhu
AAML
47
11
0
01 Feb 2019
Defense Methods Against Adversarial Examples for Recurrent Neural Networks
Ishai Rosenberg
A. Shabtai
Yuval Elovici
Lior Rokach
AAML
GAN
81
42
0
28 Jan 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
W. Zhang
Quan Z. Sheng
A. Alhazmi
Chenliang Li
AAML
114
57
0
21 Jan 2019
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
James R. Glass
104
558
0
21 Dec 2018
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples
E. Balda
Arash Behboodi
R. Mathar
AAML
30
5
0
15 Dec 2018
TextBugger: Generating Adversarial Text Against Real-world Applications
Jinfeng Li
S. Ji
Tianyu Du
Bo Li
Ting Wang
SILM
AAML
219
748
0
13 Dec 2018
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
96
92
0
01 Dec 2018
Verification of Recurrent Neural Networks Through Rule Extraction
Qinglong Wang
Kaixuan Zhang
Xue Liu
C. Lee Giles
AAML
69
18
0
14 Nov 2018
SparseFool: a few pixels make a big difference
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
72
199
0
06 Nov 2018
Adversarial Gain
Peter Henderson
Koustuv Sinha
Nan Rosemary Ke
Joelle Pineau
AAML
61
0
0
04 Nov 2018
Evading classifiers in discrete domains with provable optimality guarantees
B. Kulynych
Jamie Hayes
N. Samarin
Carmela Troncoso
AAML
83
20
0
25 Oct 2018
Attack Graph Convolutional Networks by Adding Fake Nodes
Xiaoyun Wang
Minhao Cheng
Joe Eaton
Cho-Jui Hsieh
S. F. Wu
AAML
GNN
114
78
0
25 Oct 2018
Challenge AI Mind: A Crowd System for Proactive AI Testing
Siwei Fu
Anbang Xu
Xiaotong Liu
Huimin Zhou
Rama Akkiraju
43
1
0
21 Oct 2018
Detecting egregious responses in neural sequence-to-sequence models
Tianxing He
James R. Glass
AAML
63
22
0
11 Sep 2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
Alvin Chan
Lei Ma
Felix Juefei Xu
Xiaofei Xie
Yang Liu
Yew-Soon Ong
OOD
AAML
59
17
0
07 Sep 2018
Adversarial Reprogramming of Text Classification Neural Networks
Paarth Neekhara
Shehzeen Samarah Hussain
Shlomo Dubnov
F. Koushanfar
AAML
SILM
98
9
0
06 Sep 2018
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen
Chaoran Li
Derui Wang
S. Wen
Jun Zhang
Surya Nepal
Yang Xiang
K. Ren
AAML
77
246
0
10 Aug 2018
Nonsense Attacks on Google Assistant
M. Bispham
Ioannis Agrafiotis
M. Goldsmith
AAML
13
7
0
06 Aug 2018
Automated Directed Fairness Testing
Sakshi Udeshi
Pryanshu Arora
Sudipta Chattopadhyay
FaML
78
175
0
02 Jul 2018
Robust Neural Malware Detection Models for Emulation Sequence Learning
Rakshit Agrawal
Jack W. Stokes
M. Marinescu
K. Selvaraj
AAML
46
14
0
28 Jun 2018
Hardware Trojan Attacks on Neural Networks
Joseph Clements
Yingjie Lao
AAML
78
89
0
14 Jun 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACV
MIALM
122
953
0
04 Jun 2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Michael I. Jordan
AAML
SILM
98
116
0
31 May 2018
Neural Classification of Malicious Scripts: A study with JavaScript and VBScript
Jack W. Stokes
Rakshit Agrawal
Geoff McDonald
20
10
0
15 May 2018
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers
Ishai Rosenberg
A. Shabtai
Yuval Elovici
Lior Rokach
AAML
72
10
0
23 Apr 2018
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
419
933
0
21 Apr 2018
Pathologies of Neural Models Make Interpretations Difficult
Shi Feng
Eric Wallace
Alvin Grissom II
Mohit Iyyer
Pedro Rodriguez
Jordan L. Boyd-Graber
AAML
FAtt
97
322
0
20 Apr 2018
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
71
29
0
16 Mar 2018
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
Minhao Cheng
Jinfeng Yi
Pin-Yu Chen
Huan Zhang
Cho-Jui Hsieh
SILM
AAML
114
244
0
03 Mar 2018
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin F. Elsayed
Shreya Shankar
Brian Cheung
Nicolas Papernot
Alexey Kurakin
Ian Goodfellow
Jascha Narain Sohl-Dickstein
AAML
117
264
0
22 Feb 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
FedML
AAML
85
228
0
19 Feb 2018
Fooling OCR Systems with Adversarial Text Images
Congzheng Song
Vitaly Shmatikov
AAML
61
51
0
15 Feb 2018
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models
Mengying Sun
Fengyi Tang
Jinfeng Yi
Fei Wang
Jiayu Zhou
AAML
OOD
MedIm
80
63
0
13 Feb 2018
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Ji Gao
Jack Lanchantin
M. Soffa
Yanjun Qi
AAML
164
725
0
13 Jan 2018
Denoising Dictionary Learning Against Adversarial Perturbations
John Mitro
D. Bridge
Steven D. Prestwich
AAML
31
5
0
07 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
142
1,872
0
02 Jan 2018
HotFlip: White-Box Adversarial Examples for Text Classification
J. Ebrahimi
Anyi Rao
Daniel Lowd
Dejing Dou
AAML
81
78
0
19 Dec 2017
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
213
698
0
06 Dec 2017
Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems
Kexin Pei
Linjie Zhu
Yinzhi Cao
Junfeng Yang
Carl Vondrick
Suman Jana
AAML
105
103
0
05 Dec 2017
Crafting Adversarial Examples For Speech Paralinguistics Applications
Yuan Gong
C. Poellabauer
AAML
81
122
0
09 Nov 2017
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
141
744
0
06 Nov 2017
One pixel attack for fooling deep neural networks
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
188
2,328
0
24 Oct 2017
Fooling Vision and Language Models Despite Localization and Attention Mechanism
Xiaojun Xu
Xinyun Chen
Chang-rui Liu
Anna Rohrbach
Trevor Darrell
Basel Alomair
AAML
99
41
0
25 Sep 2017
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