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Parseval Networks: Improving Robustness to Adversarial Examples
v1v2 (latest)

Parseval Networks: Improving Robustness to Adversarial Examples

28 April 2017
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
    AAML
ArXiv (abs)PDFHTML

Papers citing "Parseval Networks: Improving Robustness to Adversarial Examples"

50 / 489 papers shown
Title
Robust and Information-theoretically Safe Bias Classifier against
  Adversarial Attacks
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
Lijia Yu
Xiao-Shan Gao
AAML
114
5
0
08 Nov 2021
Training Certifiably Robust Neural Networks with Efficient Local
  Lipschitz Bounds
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Yujia Huang
Huan Zhang
Yuanyuan Shi
J Zico Kolter
Anima Anandkumar
105
78
0
02 Nov 2021
Improving Local Effectiveness for Global robust training
Improving Local Effectiveness for Global robust training
Jingyue Lu
M. P. Kumar
AAML
49
0
0
26 Oct 2021
A Dynamical System Perspective for Lipschitz Neural Networks
A Dynamical System Perspective for Lipschitz Neural Networks
Laurent Meunier
Blaise Delattre
Alexandre Araujo
A. Allauzen
128
56
0
25 Oct 2021
A Layer-wise Adversarial-aware Quantization Optimization for Improving
  Robustness
A Layer-wise Adversarial-aware Quantization Optimization for Improving Robustness
Chang Song
Riya Ranjan
H. Li
MQ
67
4
0
23 Oct 2021
Boosting the Certified Robustness of L-infinity Distance Nets
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang
Du Jiang
Di He
Liwei Wang
OOD
93
30
0
13 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural
  Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAMLTPM
139
102
0
07 Oct 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
213
383
0
04 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random
  Forest
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
Gilad Cohen
Raja Giryes
AAML
71
4
0
16 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training
  Techniques
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Shiyu Tang
Ruihao Gong
Yan Wang
Aishan Liu
Jiakai Wang
...
Xianglong Liu
Basel Alomair
Alan Yuille
Philip Torr
Dacheng Tao
VLMAAML
99
108
0
11 Sep 2021
Impact of Attention on Adversarial Robustness of Image Classification
  Models
Impact of Attention on Adversarial Robustness of Image Classification Models
Prachi Agrawal
Narinder Singh Punn
S. K. Sonbhadra
Sonali Agarwal
AAML
45
6
0
02 Sep 2021
Benchmarking the Robustness of Instance Segmentation Models
Benchmarking the Robustness of Instance Segmentation Models
Said Fahri Altindis
Yusuf Dalva
Hamza Pehlivan
Aysegül Dündar
VLMOOD
225
12
0
02 Sep 2021
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and
  Adversarial Training
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
Hari Prasanna Das
Ryan Tran
Japjot Singh
Yu-Wen Lin
C. Spanos
OOD
66
11
0
25 Aug 2021
Bridged Adversarial Training
Bridged Adversarial Training
Hoki Kim
Woojin Lee
Sungyoon Lee
Jaewook Lee
AAMLGAN
67
9
0
25 Aug 2021
Neural Architecture Dilation for Adversarial Robustness
Neural Architecture Dilation for Adversarial Robustness
Yanxi Li
Zhaohui Yang
Yunhe Wang
Chang Xu
AAML
69
24
0
16 Aug 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural
  Networks
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
El Mehdi Achour
Franccois Malgouyres
Franck Mamalet
62
21
0
12 Aug 2021
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla
Surbhi Singla
Soheil Feizi
AAML
90
58
0
05 Aug 2021
Certified Defense via Latent Space Randomized Smoothing with Orthogonal
  Encoders
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders
Huimin Zeng
Jiahao Su
Furong Huang
AAML
49
4
0
01 Aug 2021
NeuralDP Differentially private neural networks by design
Moritz Knolle
Dmitrii Usynin
Alexander Ziller
Marcus R. Makowski
Daniel Rueckert
Georgios Kaissis
37
1
0
30 Jul 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Nairouz Mrabah
Mohamed Bouguessa
M. Touati
Riadh Ksantini
99
65
0
19 Jul 2021
Geometry and Generalization: Eigenvalues as predictors of where a
  network will fail to generalize
Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize
S. Agarwala
Ben Dees
A. Gearhart
Corey Lowman
50
2
0
13 Jul 2021
A Robust Classification-autoencoder to Defend Outliers and Adversaries
A Robust Classification-autoencoder to Defend Outliers and Adversaries
Lijia Yu
Xiao-Shan Gao
AAML
77
2
0
30 Jun 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Zheng Fang
Qingqing Long
Guojie Song
Kunqing Xie
AI4TS
73
485
0
24 Jun 2021
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary
  Framework
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework
Jiahao Su
Wonmin Byeon
Furong Huang
36
9
0
16 Jun 2021
Certification of embedded systems based on Machine Learning: A survey
Certification of embedded systems based on Machine Learning: A survey
Guillaume Vidot
Christophe Gabreau
I. Ober
Iulian Ober
51
12
0
14 Jun 2021
Adversarial Robustness via Fisher-Rao Regularization
Adversarial Robustness via Fisher-Rao Regularization
Marine Picot
Francisco Messina
Malik Boudiaf
Fabrice Labeau
Ismail Ben Ayed
Pablo Piantanida
AAML
79
25
0
12 Jun 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning
CARTL: Cooperative Adversarially-Robust Transfer Learning
Dian Chen
Hongxin Hu
Qian Wang
Yinli Li
Cong Wang
Chao Shen
Qi Li
48
14
0
12 Jun 2021
Attacking Adversarial Attacks as A Defense
Attacking Adversarial Attacks as A Defense
Boxi Wu
Heng Pan
Li Shen
Jindong Gu
Shuai Zhao
Zhifeng Li
Deng Cai
Xiaofei He
Wei Liu
AAML
93
32
0
09 Jun 2021
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Xiaocheng Tang
Zhiwei Qin
Fan Zhang
Zhaodong Wang
Zhe Xu
Yintai Ma
Hongtu Zhu
Jieping Ye
OffRL
70
183
0
08 Jun 2021
Adversarial Attack and Defense in Deep Ranking
Adversarial Attack and Defense in Deep Ranking
Mo Zhou
Le Wang
Zhenxing Niu
Qilin Zhang
N. Zheng
G. Hua
OOD
83
15
0
07 Jun 2021
Human-Adversarial Visual Question Answering
Human-Adversarial Visual Question Answering
Sasha Sheng
Amanpreet Singh
Vedanuj Goswami
Jose Alberto Lopez Magana
Wojciech Galuba
Devi Parikh
Douwe Kiela
OODEgoVAAML
58
63
0
04 Jun 2021
Exploring Memorization in Adversarial Training
Exploring Memorization in Adversarial Training
Yinpeng Dong
Ke Xu
Xiao Yang
Tianyu Pang
Zhijie Deng
Hang Su
Jun Zhu
TDI
58
74
0
03 Jun 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of
  Noisy Labels
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels
Jingfeng Zhang
Xilie Xu
Bo Han
Tongliang Liu
Gang Niu
Li-zhen Cui
Masashi Sugiyama
NoLaAAML
87
9
0
31 May 2021
Quantifying and Localizing Usable Information Leakage from Neural
  Network Gradients
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients
Fan Mo
Anastasia Borovykh
Mohammad Malekzadeh
Soteris Demetriou
Deniz Gündüz
Hamed Haddadi
FedML
31
3
0
28 May 2021
A Universal Law of Robustness via Isoperimetry
A Universal Law of Robustness via Isoperimetry
Sébastien Bubeck
Mark Sellke
55
218
0
26 May 2021
Skew Orthogonal Convolutions
Skew Orthogonal Convolutions
Sahil Singla
Soheil Feizi
79
69
0
24 May 2021
Sparta: Spatially Attentive and Adversarially Robust Activation
Sparta: Spatially Attentive and Adversarially Robust Activation
Qing Guo
Felix Juefei Xu
Changqing Zhou
Wei Feng
Yang Liu
Song Wang
AAML
70
4
0
18 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation
  Perspective
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective
Florin Gogianu
Tudor Berariu
Mihaela Rosca
Claudia Clopath
L. Buşoniu
Razvan Pascanu
86
56
0
11 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
126
58
0
29 Apr 2021
Orthogonalizing Convolutional Layers with the Cayley Transform
Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman
J. Zico Kolter
95
115
0
14 Apr 2021
Sparse Coding Frontend for Robust Neural Networks
Sparse Coding Frontend for Robust Neural Networks
Can Bakiskan
Metehan Cekic
Ahmet Dundar Sezer
Upamanyu Madhow
AAML
21
0
0
12 Apr 2021
Pay attention to your loss: understanding misconceptions about
  1-Lipschitz neural networks
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks
Louis Bethune
Thibaut Boissin
M. Serrurier
Franck Mamalet
Corentin Friedrich
Alberto González Sanz
111
23
0
11 Apr 2021
Combating Adversaries with Anti-Adversaries
Combating Adversaries with Anti-Adversaries
Motasem Alfarra
Juan C. Pérez
Ali K. Thabet
Adel Bibi
Philip Torr
Guohao Li
AAML
103
27
0
26 Mar 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks
JFB: Jacobian-Free Backpropagation for Implicit Networks
Samy Wu Fung
Howard Heaton
Qiuwei Li
Daniel McKenzie
Stanley Osher
W. Yin
FedML
138
85
0
23 Mar 2021
Constant Random Perturbations Provide Adversarial Robustness with
  Minimal Effect on Accuracy
Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy
Bronya R. Chernyak
Bhiksha Raj
Tamir Hazan
Joseph Keshet
AAML
65
1
0
15 Mar 2021
Reframing Neural Networks: Deep Structure in Overcomplete
  Representations
Reframing Neural Networks: Deep Structure in Overcomplete Representations
Calvin Murdock
George Cazenavette
Simon Lucey
BDL
64
5
0
10 Mar 2021
Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy
Chong Chen
Kezhi Kong
Peihong Yu
J. Luque
Tom Goldstein
Furong Huang
AAML
64
8
0
07 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by
  Adversarial Attack
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
AAMLOODMedIm
105
45
0
05 Mar 2021
Smoothness Analysis of Adversarial Training
Smoothness Analysis of Adversarial Training
Sekitoshi Kanai
Masanori Yamada
Hiroshi Takahashi
Yuki Yamanaka
Yasutoshi Ida
AAML
95
6
0
02 Mar 2021
Convolutional Normalization: Improving Deep Convolutional Network
  Robustness and Training
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Sheng Liu
Xiao Li
Yuexiang Zhai
Chong You
Zhihui Zhu
C. Fernandez‐Granda
Qing Qu
52
26
0
01 Mar 2021
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