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Metamorphic Relation Based Adversarial Attacks on Differentiable Neural
  Computer

Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer

7 September 2018
Alvin Chan
Lei Ma
Felix Juefei Xu
Xiaofei Xie
Yang Liu
Yew-Soon Ong
    OODAAML
ArXiv (abs)PDFHTML

Papers citing "Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer"

12 / 12 papers shown
A Brain-inspired Memory Transformation based Differentiable Neural
  Computer for Reasoning-based Question Answering
A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question AnsweringFrontiers in Artificial Intelligence (FAI), 2023
Yao Liang
H. Fang
Yi Zeng
Feifei Zhao
OOD
256
2
0
07 Jan 2023
A Survey on Adversarial Attacks for Malware Analysis
A Survey on Adversarial Attacks for Malware AnalysisIEEE Access (IEEE Access), 2021
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
382
72
0
16 Nov 2021
On Robustness of Neural Semantic Parsers
On Robustness of Neural Semantic ParsersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Shuo Huang
Zhuang Li
Zhuang Li
Lei Pan
AAML
343
16
0
02 Feb 2021
Knowledge-driven Natural Language Understanding of English Text and its
  Applications
Knowledge-driven Natural Language Understanding of English Text and its ApplicationsAAAI Conference on Artificial Intelligence (AAAI), 2021
Kinjal Basu
S. Varanasi
Farhad Shakerin
Joaquín Arias
G. Gupta
203
30
0
27 Jan 2021
ShapeFlow: Dynamic Shape Interpreter for TensorFlow
ShapeFlow: Dynamic Shape Interpreter for TensorFlow
Sahil Verma
Z. Su
173
13
0
26 Nov 2020
Poison Attacks against Text Datasets with Conditional Adversarially
  Regularized Autoencoder
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
Alvin Chan
Yi Tay
Yew-Soon Ong
Aston Zhang
SILM
207
60
0
06 Oct 2020
Adversarial Exposure Attack on Diabetic Retinopathy Imagery
Adversarial Exposure Attack on Diabetic Retinopathy ImageryIEEE journal of biomedical and health informatics (JBHI), 2020
Yupeng Cheng
Felix Juefei Xu
Qing Guo
Huazhu Fu
Xiaofei Xie
Shang-Wei Lin
Weisi Lin
Yang Liu
AAMLMedIm
275
27
0
19 Sep 2020
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
Hanyu Wang
Zitao Liu
Shucheng Zhou
269
17
0
13 Sep 2019
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and HorizonsIEEE Transactions on Software Engineering (TSE), 2019
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLMAILaw
326
849
0
19 Jun 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
315
57
0
21 Jan 2019
Secure Deep Learning Engineering: A Software Quality Assurance
  Perspective
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Lei Ma
Felix Juefei Xu
Minhui Xue
Q. Hu
Sen Chen
Yue Liu
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
AAML
186
37
0
10 Oct 2018
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
834
653
0
31 Oct 2017
1
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