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Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
v1v2v3v4 (latest)

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Computer Vision and Pattern Recognition (CVPR), 2014
5 December 2014
Anh Totti Nguyen
J. Yosinski
Jeff Clune
    AAML
ArXiv (abs)PDFHTML

Papers citing "Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"

50 / 1,455 papers shown
Title
Semantic Network Interpretation
Semantic Network Interpretation
Pei Guo
Ryan Farrell
MILMFAtt
125
0
0
23 May 2018
Classification Uncertainty of Deep Neural Networks Based on Gradient
  Information
Classification Uncertainty of Deep Neural Networks Based on Gradient Information
Philipp Oberdiek
Matthias Rottmann
Hanno Gottschalk
UQCV
180
66
0
22 May 2018
Learning long-range spatial dependencies with horizontal gated-recurrent
  units
Learning long-range spatial dependencies with horizontal gated-recurrent units
Drew Linsley
Junkyung Kim
Vijay Veerabadran
Thomas Serre
294
170
0
21 May 2018
The Roles of Supervised Machine Learning in Systems Neuroscience
The Roles of Supervised Machine Learning in Systems Neuroscience
Joshua I. Glaser
Ari S. Benjamin
Roozbeh Farhoodi
Konrad Paul Kording
146
122
0
21 May 2018
Bidirectional Learning for Robust Neural Networks
Bidirectional Learning for Robust Neural Networks
S. Pontes-Filho
Marcus Liwicki
135
9
0
21 May 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GANAAML
494
340
0
21 May 2018
Controlling the privacy loss with the input feature maps of the layers
  in convolutional neural networks
Controlling the privacy loss with the input feature maps of the layers in convolutional neural networks
Woohyung Chun
Sung-Min Hong
Junho Huh
Inyup Kang
PICV
159
0
0
09 May 2018
Label Refinery: Improving ImageNet Classification through Label
  Progression
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad
Maxwell Horton
Mohammad Rastegari
Ali Farhadi
211
197
0
07 May 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
177
278
0
06 May 2018
Optimization of computational budget for power system risk assessment
Optimization of computational budget for power system risk assessment
Benjamin Donnot
Isabelle M Guyon
Antoine Marot
Marc Schoenauer
P. Panciatici
111
12
0
03 May 2018
Anticipating contingengies in power grids using fast neural net
  screening
Anticipating contingengies in power grids using fast neural net screening
Benjamin Donnot
Isabelle M Guyon
Marc Schoenauer
Antoine Marot
P. Panciatici
AI4CE
108
16
0
03 May 2018
Potentials and Limitations of Deep Neural Networks for Cognitive Robots
Potentials and Limitations of Deep Neural Networks for Cognitive Robots
Doreen Jirak
S. Wermter
84
5
0
02 May 2018
Towards Interpretable Face Recognition
Towards Interpretable Face Recognition
Bangjie Yin
Luan Tran
Haoxiang Li
Xiaohui Shen
Xiaoming Liu
CVBM
232
88
0
02 May 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals
Formal Security Analysis of Neural Networks using Symbolic Intervals
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
252
508
0
28 Apr 2018
PANDA: Facilitating Usable AI Development
PANDA: Facilitating Usable AI Development
Jinyang Gao
Wei Wang
Meihui Zhang
Gang Chen
H. V. Jagadish
Guoliang Li
Teck Khim Ng
Beng Chin Ooi
Sheng Wang
Jingren Zhou
239
4
0
26 Apr 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt
Sebastian Gehrmann
M. Behrisch
Adam Perer
Hanspeter Pfister
Alexander M. Rush
VLMHAI
226
252
0
25 Apr 2018
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and InformationInternational Conference on Machine Learning (ICML), 2018
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAUAAML
566
1,306
0
23 Apr 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples
VectorDefense: Vectorization as a Defense to Adversarial ExamplesStudies in Computational Intelligence (SCI), 2018
V. Kabilan
Brandon L. Morris
Anh Totti Nguyen
AAML
127
22
0
23 Apr 2018
Pathologies of Neural Models Make Interpretations Difficult
Pathologies of Neural Models Make Interpretations DifficultConference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Shi Feng
Eric Wallace
Alvin Grissom II
Mohit Iyyer
Pedro Rodriguez
Jordan L. Boyd-Graber
AAMLFAtt
304
330
0
20 Apr 2018
Understanding Regularization to Visualize Convolutional Neural Networks
Understanding Regularization to Visualize Convolutional Neural Networks
Maximilian Baust
Florian Ludwig
Christian Rupprecht
Matthias Kohl
S. Braunewell
FAtt
110
4
0
20 Apr 2018
Hierarchical Behavioral Repertoires with Unsupervised Descriptors
Hierarchical Behavioral Repertoires with Unsupervised DescriptorsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2018
Antoine Cully
Y. Demiris
154
36
0
19 Apr 2018
Attacking Convolutional Neural Network using Differential Evolution
Attacking Convolutional Neural Network using Differential EvolutionIPSJ Transactions on Computer Vision and Applications (IPSJ TCVA), 2018
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
121
47
0
19 Apr 2018
The Limits and Potentials of Deep Learning for Robotics
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
R. Hadsell
Dieter Fox
...
B. Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
Peter Corke
221
546
0
18 Apr 2018
Data-efficient Neuroevolution with Kernel-Based Surrogate Models
Data-efficient Neuroevolution with Kernel-Based Surrogate Models
Adam Gaier
A. Asteroth
Jean-Baptiste Mouret
SyDa
134
20
0
15 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems
Adversarial Attacks Against Medical Deep Learning Systems
S. G. Finlayson
Hyung Won Chung
I. Kohane
Andrew L. Beam
SILMAAMLOODMedIm
261
252
0
15 Apr 2018
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning
Stefan Depeweg
Constantin Rothkopf
Frank Jakel
LRM
139
44
0
12 Apr 2018
Discovering the Elite Hypervolume by Leveraging Interspecies Correlation
Discovering the Elite Hypervolume by Leveraging Interspecies Correlation
Vassilis Vassiliades
Jean-Baptiste Mouret
197
87
0
11 Apr 2018
Adversarial Training Versus Weight Decay
Adversarial Training Versus Weight Decay
A. Galloway
T. Tanay
Graham W. Taylor
AAML
217
23
0
10 Apr 2018
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural
  Networks
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks
Pu Zhao
Sijia Liu
Yanzhi Wang
Xinyu Lin
AAML
126
38
0
09 Apr 2018
Interoceptive robustness through environment-mediated morphological
  development
Interoceptive robustness through environment-mediated morphological development
Sam Kriegman
Nick Cheney
Francesco Corucci
Josh Bongard
138
21
0
06 Apr 2018
Impact of ultrasound image reconstruction method on breast lesion
  classification with neural transfer learning
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning
Michal Byra
T. Sznajder
Danijel Koržinek
H. Piotrzkowska-Wróblewska
K. Dobruch-Sobczak
A. Nowicki
K. Marasek
116
9
0
06 Apr 2018
Identifying Cross-Depicted Historical Motifs
Identifying Cross-Depicted Historical Motifs
Vinaychandran Pondenkandath
Michele Alberti
Nicole Eichenberger
Rolf Ingold
Marcus Liwicki
179
14
0
05 Apr 2018
The structure of evolved representations across different substrates for
  artificial intelligence
The structure of evolved representations across different substrates for artificial intelligence
A. Hintze
Douglas Kirkpatrick
C. Adami
92
17
0
05 Apr 2018
Confidence from Invariance to Image Transformations
Confidence from Invariance to Image Transformations
Yuval Bahat
Gregory Shakhnarovich
160
21
0
02 Apr 2018
Toward Intelligent Vehicular Networks: A Machine Learning Framework
Toward Intelligent Vehicular Networks: A Machine Learning Framework
Le Liang
Hao Ye
Geoffrey Ye Li
130
222
0
01 Apr 2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
146
198
0
30 Mar 2018
Feed-forward Uncertainty Propagation in Belief and Neural Networks
Feed-forward Uncertainty Propagation in Belief and Neural Networks
Alexander Shekhovtsov
B. Flach
M. Busta
161
5
0
28 Mar 2018
Clipping free attacks against artificial neural networks
Clipping free attacks against artificial neural networks
B. Addad
Jérôme Kodjabachian
Christophe Meyer
AAML
64
1
0
26 Mar 2018
Understanding Measures of Uncertainty for Adversarial Example Detection
Understanding Measures of Uncertainty for Adversarial Example Detection
Lewis Smith
Y. Gal
UQCV
241
394
0
22 Mar 2018
Removing Confounding Factors Associated Weights in Deep Neural Networks
  Improves the Prediction Accuracy for Healthcare Applications
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
Haohan Wang
Zhenglin Wu
Eric Xing
OOD
170
45
0
20 Mar 2018
Improving Transferability of Adversarial Examples with Input Diversity
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
405
1,293
0
19 Mar 2018
Invisible Mask: Practical Attacks on Face Recognition with Infrared
Invisible Mask: Practical Attacks on Face Recognition with Infrared
Zhe Zhou
Di Tang
Luyi Xing
Weili Han
Xiangyu Liu
Kehuan Zhang
CVBMAAML
125
112
0
13 Mar 2018
Compact Convolutional Neural Networks for Classification of Asynchronous
  Steady-state Visual Evoked Potentials
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked PotentialsJournal of Neural Engineering (J Neural Eng), 2018
Nicholas R. Waytowich
Vernon J. Lawhern
J. Garcia
J. Cummings
J. Faller
P. Sajda
J. Vettel
184
218
0
12 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
346
1,417
0
12 Mar 2018
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
Kai Xu
Dae Hoon Park
Chang Yi
Charles Sutton
HAIFAtt
129
29
0
11 Mar 2018
Detecting Adversarial Examples via Neural Fingerprinting
Detecting Adversarial Examples via Neural Fingerprinting
Sumanth Dathathri
Stephan Zheng
Tianwei Yin
Richard M. Murray
Yisong Yue
MLAUAAML
160
0
0
11 Mar 2018
Testing Deep Neural Networks
Testing Deep Neural Networks
Youcheng Sun
Xiaowei Huang
Daniel Kroening
James Sharp
Matthew Hill
Rob Ashmore
AAML
226
235
0
10 Mar 2018
On Generation of Adversarial Examples using Convex Programming
On Generation of Adversarial Examples using Convex Programming
E. Balda
Arash Behboodi
R. Mathar
AAML
117
13
0
09 Mar 2018
Sparse Adversarial Perturbations for Videos
Sparse Adversarial Perturbations for Videos
Xingxing Wei
Jun Zhu
Hang Su
AAML
228
157
0
07 Mar 2018
On the Suitability of $L_p$-norms for Creating and Preventing
  Adversarial Examples
On the Suitability of LpL_pLp​-norms for Creating and Preventing Adversarial Examples
Mahmood Sharif
Lujo Bauer
Michael K. Reiter
AAML
300
146
0
27 Feb 2018
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