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On Adversarial Robustness: A Neural Architecture Search perspective

On Adversarial Robustness: A Neural Architecture Search perspective

16 July 2020
Chaitanya Devaguptapu
Devansh Agarwal
Gaurav Mittal
Pulkit Gopalani
V. Balasubramanian
    OOD
    AAML
ArXivPDFHTML

Papers citing "On Adversarial Robustness: A Neural Architecture Search perspective"

45 / 45 papers shown
Title
Bag of Tricks for Adversarial Training
Bag of Tricks for Adversarial Training
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
AAML
66
268
0
01 Oct 2020
Torchattacks: A PyTorch Repository for Adversarial Attacks
Torchattacks: A PyTorch Repository for Adversarial Attacks
Hoki Kim
71
205
0
24 Sep 2020
Adversarial Training and Provable Robustness: A Tale of Two Objectives
Adversarial Training and Provable Robustness: A Tale of Two Objectives
Jiameng Fan
Wenchao Li
AAML
35
20
0
13 Aug 2020
Smooth Adversarial Training
Smooth Adversarial Training
Cihang Xie
Mingxing Tan
Boqing Gong
Alan Yuille
Quoc V. Le
OOD
75
153
0
25 Jun 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
213
1,842
0
03 Mar 2020
Fast is better than free: Revisiting adversarial training
Fast is better than free: Revisiting adversarial training
Eric Wong
Leslie Rice
J. Zico Kolter
AAML
OOD
136
1,177
0
12 Jan 2020
NAS evaluation is frustratingly hard
NAS evaluation is frustratingly hard
Antoine Yang
P. Esperança
Fabio Maria Carlucci
65
168
0
28 Dec 2019
When NAS Meets Robustness: In Search of Robust Architectures against
  Adversarial Attacks
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Minghao Guo
Yuzhe Yang
Rui Xu
Ziwei Liu
Dahua Lin
AAML
OOD
64
158
0
25 Nov 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
94
5,045
0
20 Nov 2019
NAIS: Neural Architecture and Implementation Search and its Applications
  in Autonomous Driving
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving
Cong Hao
Yao Chen
Xinheng Liu
A. Sarwari
Daryl Sew
...
Dongdong Fu
Jinjun Xiong
Wen-mei W. Hwu
Junli Gu
Deming Chen
3DV
46
22
0
18 Nov 2019
Resource Optimized Neural Architecture Search for 3D Medical Image
  Segmentation
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation
Woong Bae
Seungho Lee
Yeha Lee
Beomhee Park
Minki Chung
Kyu-Hwan Jung
44
45
0
02 Sep 2019
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
Shen Yan
Biyi Fang
Faen Zhang
Yu Zheng
Xiao Zeng
Hui Xu
Mi Zhang
40
22
0
31 Aug 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Guo-Jun Qi
Qi Tian
H. Xiong
74
609
0
12 Jul 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Shashank Kotyan
Danilo Vasconcellos Vargas
OOD
AAML
53
35
0
27 Jun 2019
Densely Connected Search Space for More Flexible Neural Architecture
  Search
Densely Connected Search Space for More Flexible Neural Architecture Search
Jiemin Fang
Yuzhu Sun
Qian Zhang
Yuan Li
Wenyu Liu
Xinggang Wang
61
124
0
23 Jun 2019
Intriguing properties of adversarial training at scale
Intriguing properties of adversarial training at scale
Cihang Xie
Alan Yuille
AAML
46
68
0
10 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
133
18,106
0
28 May 2019
Adversarial Training for Free!
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
125
1,245
0
29 Apr 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap
  between Search and Evaluation
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
AI4TS
MQ
70
663
0
29 Apr 2019
Improving Adversarial Robustness via Promoting Ensemble Diversity
Improving Adversarial Robustness via Promoting Ensemble Diversity
Tianyu Pang
Kun Xu
Chao Du
Ning Chen
Jun Zhu
AAML
67
438
0
25 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
129
2,548
0
24 Jan 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
99
1,867
0
02 Dec 2018
SparseFool: a few pixels make a big difference
SparseFool: a few pixels make a big difference
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
50
199
0
06 Nov 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
59
81
0
08 Oct 2018
Adversarial Attacks and Defences: A Survey
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty
Manaar Alam
Vishal Dey
Anupam Chattopadhyay
Debdeep Mukhopadhyay
AAML
OOD
67
679
0
28 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
112
391
0
05 Aug 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
187
4,350
0
24 Jun 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
107
2,762
0
09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
150
3,026
0
05 Feb 2018
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
103
1,988
0
02 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
294
12,060
0
19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
177
2,725
0
19 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
348
27,174
0
20 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
447
5,369
0
05 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
467
3,140
0
04 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
760
36,781
0
25 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
254
8,550
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
524
5,897
0
08 Jul 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
68
3,675
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
98
3,957
0
24 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
146
4,895
0
14 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
493
62,243
0
04 Jun 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
264
19,045
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
261
14,912
1
21 Dec 2013
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