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Natural Adversarial Examples
v1v2v3v4 (latest)

Natural Adversarial Examples

Computer Vision and Pattern Recognition (CVPR), 2019
16 July 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
    OODD
ArXiv (abs)PDFHTML

Papers citing "Natural Adversarial Examples"

19 / 1,169 papers shown
On Feature Normalization and Data Augmentation
On Feature Normalization and Data AugmentationComputer Vision and Pattern Recognition (CVPR), 2020
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
237
156
0
25 Feb 2020
Gödel's Sentence Is An Adversarial Example But Unsolvable
Gödel's Sentence Is An Adversarial Example But Unsolvable
Xiaodong Qi
Lansheng Han
AAML
160
0
0
25 Feb 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing
  Classifiers Adaptively
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers AdaptivelyInternational Conference on Learning Representations (ICLR), 2020
Haotao Wang
Tianlong Chen
Zinan Lin
Kede Ma
VLM
203
20
0
25 Feb 2020
CEB Improves Model Robustness
CEB Improves Model RobustnessEntropy (Entropy), 2020
Ian S. Fischer
Alexander A. Alemi
AAML
226
32
0
13 Feb 2020
Adversarial Filters of Dataset Biases
Adversarial Filters of Dataset BiasesInternational Conference on Machine Learning (ICML), 2020
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
435
234
0
10 Feb 2020
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional
  Neural Networks
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural NetworksComputational Brain & Behavior (CBB), 2020
Xiaoliang Luo
Brett D. Roads
Bradley C. Love
168
19
0
06 Feb 2020
A Little Fog for a Large Turn
A Little Fog for a Large TurnIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Harshitha Machiraju
V. Balasubramanian
AAML
167
12
0
16 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset
  DAmageNet
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNetIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie Yang
Xiaolin Huang
AAML
363
124
0
16 Jan 2020
DAmageNet: A Universal Adversarial Dataset
DAmageNet: A Universal Adversarial Dataset
Sizhe Chen
Xiaolin Huang
Zhengbao He
Chengjin Sun
AAML
136
10
0
16 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with
  Disentangled Representations
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Sven Gowal
Chongli Qin
Po-Sen Huang
taylan. cemgil
Krishnamurthy Dvijotham
Timothy A. Mann
Pushmeet Kohli
AAMLOOD
240
58
0
06 Dec 2019
Towards Robust Image Classification Using Sequential Attention Models
Towards Robust Image Classification Using Sequential Attention ModelsComputer Vision and Pattern Recognition (CVPR), 2019
Daniel Zoran
Mike Chrzanowski
Po-Sen Huang
Sven Gowal
Alex Mott
Pushmeet Kohli
AAML
153
68
0
04 Dec 2019
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image RecognitionComputer Vision and Pattern Recognition (CVPR), 2019
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
390
609
0
21 Nov 2019
What Do Compressed Deep Neural Networks Forget?
What Do Compressed Deep Neural Networks Forget?
Sara Hooker
Aaron Courville
Gregory Clark
Yann N. Dauphin
Andrea Frome
311
203
0
13 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classificationComputer Vision and Pattern Recognition (CVPR), 2019
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
1.2K
2,629
0
11 Nov 2019
Noise as a Resource for Learning in Knowledge Distillation
Noise as a Resource for Learning in Knowledge Distillation
Elahe Arani
F. Sarfraz
Bahram Zonooz
180
6
0
11 Oct 2019
Out-of-distribution Detection in Classifiers via Generation
Out-of-distribution Detection in Classifiers via Generation
Sachin Vernekar
Ashish Gaurav
Vahdat Abdelzad
Taylor Denouden
Rick Salay
Krzysztof Czarnecki
OODD
269
85
0
09 Oct 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased RepresentationsInternational Conference on Machine Learning (ICML), 2019
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
806
311
0
07 Oct 2019
ImageNet-trained deep neural network exhibits illusion-like response to
  the Scintillating Grid
ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid
Eric Sun
Ron Dekel
160
5
0
21 Jul 2019
Robustness properties of Facebook's ResNeXt WSL models
Robustness properties of Facebook's ResNeXt WSL models
Emin Orhan
VLM
457
34
0
17 Jul 2019
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