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Defensive Quantization: When Efficiency Meets Robustness

Defensive Quantization: When Efficiency Meets Robustness

17 April 2019
Ji Lin
Chuang Gan
Song Han
    MQ
ArXiv (abs)PDFHTML

Papers citing "Defensive Quantization: When Efficiency Meets Robustness"

27 / 127 papers shown
Title
QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of
  Neural Networks
QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks
Priyadarshini Panda
MQAAML
75
29
0
22 Apr 2020
Testing Machine Translation via Referential Transparency
Testing Machine Translation via Referential Transparency
Pinjia He
Clara Meister
Z. Su
59
51
0
22 Apr 2020
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
Haidong Xie
Lixin Qian
Xueshuang Xiang
Naijin Liu
AAML
28
1
0
10 Apr 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
143
475
0
31 Mar 2020
Improved Gradient based Adversarial Attacks for Quantized Networks
Improved Gradient based Adversarial Attacks for Quantized Networks
Kartik Gupta
Thalaiyasingam Ajanthan
MQ
51
19
0
30 Mar 2020
Generative Low-bitwidth Data Free Quantization
Generative Low-bitwidth Data Free Quantization
Shoukai Xu
Haokun Li
Bohan Zhuang
Jing Liu
Jingyun Liang
Chuangrun Liang
Mingkui Tan
MQ
77
127
0
07 Mar 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by
  Enabling Input-Adaptive Inference
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference
Ting-Kuei Hu
Tianlong Chen
Haotao Wang
Zhangyang Wang
OODAAML3DH
95
84
0
24 Feb 2020
Polarizing Front Ends for Robust CNNs
Polarizing Front Ends for Robust CNNs
Can Bakiskan
S. Gopalakrishnan
Metehan Cekic
Upamanyu Madhow
Ramtin Pedarsani
AAML
45
4
0
22 Feb 2020
Gradient $\ell_1$ Regularization for Quantization Robustness
Gradient ℓ1\ell_1ℓ1​ Regularization for Quantization Robustness
Milad Alizadeh
Arash Behboodi
M. V. Baalen
Christos Louizos
Tijmen Blankevoort
Max Welling
MQ
58
8
0
18 Feb 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the
  Wild
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal
Scott Freitas
Cao Xiao
Duen Horng Chau
Jimeng Sun
127
22
0
29 Jan 2020
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
AAMLOOD
118
159
0
25 Nov 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for
  Embedded Neural Networks
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
Rémi Bernhard
Pierre-Alain Moëllic
J. Dutertre
AAMLMQ
89
18
0
27 Sep 2019
Understanding Adversarial Robustness: The Trade-off between Minimum and
  Average Margin
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin
Kaiwen Wu
Yaoliang Yu
AAML
45
8
0
26 Jul 2019
On the Design of Black-box Adversarial Examples by Leveraging
  Gradient-free Optimization and Operator Splitting Method
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
Pu Zhao
Sijia Liu
Pin-Yu Chen
Nghia Hoang
Kaidi Xu
B. Kailkhura
Xue Lin
AAML
119
54
0
26 Jul 2019
Structure-Invariant Testing for Machine Translation
Structure-Invariant Testing for Machine Translation
Pinjia He
Clara Meister
Z. Su
75
106
0
19 Jul 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network
  Robustness and Compactness
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
Adnan Siraj Rakin
Zhezhi He
Li Yang
Yanzhi Wang
Liqiang Wang
Deliang Fan
AAML
93
21
0
30 May 2019
Brain-inspired reverse adversarial examples
Brain-inspired reverse adversarial examples
Shaokai Ye
S. Tan
Kaidi Xu
Yanzhi Wang
Chenglong Bao
Kaisheng Ma
AAML
25
5
0
28 May 2019
Enhancing Adversarial Defense by k-Winners-Take-All
Enhancing Adversarial Defense by k-Winners-Take-All
Chang Xiao
Peilin Zhong
Changxi Zheng
AAML
80
99
0
25 May 2019
Adversarially Robust Distillation
Adversarially Robust Distillation
Micah Goldblum
Liam H. Fowl
Soheil Feizi
Tom Goldstein
AAML
87
213
0
23 May 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal
  Principle
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang
Tianyuan Zhang
Yiping Lu
Zhanxing Zhu
Bin Dong
AAML
130
362
0
02 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
139
1,255
0
29 Apr 2019
Adversarial Learning in Statistical Classification: A Comprehensive
  Review of Defenses Against Attacks
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
David J. Miller
Zhen Xiang
G. Kesidis
AAML
74
35
0
12 Apr 2019
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain
  Segmentation
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation
Magdalini Paschali
Stefano Gasperini
Abhijit Guha Roy
Michael Y.-S. Fang
Nassir Navab
67
21
0
05 Apr 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural
  Networks
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
Aamir Mustafa
Salman Khan
Munawar Hayat
Roland Göcke
Jianbing Shen
Ling Shao
AAML
64
152
0
01 Apr 2019
Adversarial Robustness vs Model Compression, or Both?
Adversarial Robustness vs Model Compression, or Both?
Shaokai Ye
Kaidi Xu
Sijia Liu
Jan-Henrik Lambrechts
Huan Zhang
Aojun Zhou
Kaisheng Ma
Yanzhi Wang
Xue Lin
AAML
98
165
0
29 Mar 2019
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
106
225
0
28 Mar 2019
Model Compression with Adversarial Robustness: A Unified Optimization
  Framework
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui
Haotao Wang
Chen Yu
Haichuan Yang
Zhangyang Wang
Ji Liu
MQ
79
139
0
10 Feb 2019
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