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1802.07896
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L2-Nonexpansive Neural Networks
22 February 2018
Haifeng Qian
M. Wegman
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Papers citing
"L2-Nonexpansive Neural Networks"
46 / 46 papers shown
Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix
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Tianyang Cai
354
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Improved techniques for deterministic l2 robustness
Neural Information Processing Systems (NeurIPS), 2022
Sahil Singla
Soheil Feizi
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204
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0
15 Nov 2022
LOT: Layer-wise Orthogonal Training on Improving
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Certified Robustness
Neural Information Processing Systems (NeurIPS), 2022
Xiaojun Xu
Linyi Li
Yue Liu
OOD
AAML
220
36
0
20 Oct 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
Neural Information Processing Systems (NeurIPS), 2022
Bohang Zhang
Du Jiang
Di He
Liwei Wang
OOD
363
71
0
04 Oct 2022
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Neural Information Processing Systems (NeurIPS), 2021
Yujia Huang
Huan Zhang
Yuanyuan Shi
J Zico Kolter
Anima Anandkumar
241
94
0
02 Nov 2021
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang
Du Jiang
Di He
Liwei Wang
OOD
310
33
0
13 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Jiabo He
AAML
TPM
332
112
0
07 Oct 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
Journal of machine learning research (JMLR), 2021
El Mehdi Achour
Franccois Malgouyres
Franck Mamalet
324
22
0
12 Aug 2021
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
International Conference on Learning Representations (ICLR), 2021
Sahil Singla
Surbhi Singla
Soheil Feizi
AAML
206
69
0
05 Aug 2021
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders
Huimin Zeng
Jiahao Su
Furong Huang
AAML
101
4
0
01 Aug 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning
International Conference on Machine Learning (ICML), 2021
Dian Chen
Hongxin Hu
Qian Wang
Yinli Li
Cong Wang
Chao Shen
Qi Li
110
15
0
12 Jun 2021
An Ensemble Approach Towards Adversarial Robustness
Haifeng Qian
AAML
UQCV
70
0
0
10 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
ACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
313
45
0
09 Jun 2021
Skew Orthogonal Convolutions
International Conference on Machine Learning (ICML), 2021
Sahil Singla
Soheil Feizi
220
73
0
24 May 2021
Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness
IEEE Transactions on Automatic Control (IEEE TAC), 2021
Max Revay
Ruigang Wang
I. Manchester
293
94
0
13 Apr 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Neural Information Processing Systems (NeurIPS), 2021
Sheng Liu
Xiao Li
Yuexiang Zhai
Chong You
Zhihui Zhu
C. Fernandez‐Granda
Qing Qu
208
28
0
01 Mar 2021
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization
Christina Runkel
Christian Etmann
Michael Möller
Carola-Bibiane Schönlieb
114
3
0
12 Feb 2021
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
International Conference on Machine Learning (ICML), 2021
Bohang Zhang
Tianle Cai
Zhou Lu
Di He
Liwei Wang
OOD
293
57
0
10 Feb 2021
Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning
Journal of Machine Learning for Modeling and Computing (JMLMC), 2021
Paul Novello
Gaël Poëtte
D. Lugato
P. Congedo
267
0
0
19 Jan 2021
Revisiting Edge Detection in Convolutional Neural Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Minh Le
Subhradeep Kayal
FAtt
233
15
0
25 Dec 2020
Representing Deep Neural Networks Latent Space Geometries with Graphs
Carlos Lassance
Vincent Gripon
Antonio Ortega
AI4CE
157
16
0
14 Nov 2020
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Mathematical and Scientific Machine Learning (MSML), 2020
Yifei Huang
Yaodong Yu
Hongyang R. Zhang
Yi-An Ma
Xingtai Lv
AAML
185
31
0
28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Lei Huang
Jie Qin
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
AI4CE
353
380
0
27 Sep 2020
Adversarially Robust Neural Architectures
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Minjing Dong
Yanxi Li
Yunhe Wang
Chang Xu
AAML
OOD
272
51
0
02 Sep 2020
Achieving robustness in classification using optimal transport with hinge regularization
Computer Vision and Pattern Recognition (CVPR), 2020
M. Serrurier
Franck Mamalet
Alberto González Sanz
Thibaut Boissin
Jean-Michel Loubes
E. del Barrio
AAML
285
44
0
11 Jun 2020
Towards an Intrinsic Definition of Robustness for a Classifier
Théo Giraudon
Vincent Gripon
Matthias Löwe
Franck Vermet
OOD
AAML
98
2
0
09 Jun 2020
Lifted Regression/Reconstruction Networks
R. Høier
Christopher Zach
98
8
0
07 May 2020
A Convex Parameterization of Robust Recurrent Neural Networks
Max Revay
Ruigang Wang
I. Manchester
248
4
0
11 Apr 2020
A Closer Look at Accuracy vs. Robustness
Yao-Yuan Yang
Cyrus Rashtchian
Hongyang R. Zhang
Ruslan Salakhutdinov
Kamalika Chaudhuri
OOD
357
31
0
05 Mar 2020
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
Computer Vision and Pattern Recognition (CVPR), 2019
Arash Rahnama
A. Nguyen
Edward Raff
AAML
130
24
0
12 Nov 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Neural Information Processing Systems (NeurIPS), 2019
Qiyang Li
Saminul Haque
Cem Anil
James Lucas
Roger C. Grosse
Joern-Henrik Jacobsen
398
119
0
03 Nov 2019
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Mina Basirat
P. Roth
134
13
0
27 Oct 2019
Diametrical Risk Minimization: Theory and Computations
Machine-mediated learning (ML), 2019
Matthew Norton
Pratiksha Agrawal
272
20
0
24 Oct 2019
Structural Robustness for Deep Learning Architectures
Data Science Workshop (DS), 2019
Carlos Lassance
Vincent Gripon
Jian Tang
Antonio Ortega
OOD
135
3
0
11 Sep 2019
Neural Belief Reasoner
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Haifeng Qian
NAI
BDL
148
1
0
10 Sep 2019
Defending Against Adversarial Examples with K-Nearest Neighbor
Chawin Sitawarin
David Wagner
AAML
190
29
0
23 Jun 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Mahyar Fazlyab
Avi Schwarzschild
Hamed Hassani
M. Morari
George J. Pappas
407
519
0
12 Jun 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
International Conference on Machine Learning (ICML), 2019
Ernest K. Ryu
Jialin Liu
Sicheng Wang
Xiaohan Chen
Zinan Lin
W. Yin
AI4CE
267
408
0
14 May 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Neural Information Processing Systems (NeurIPS), 2019
Dinghuai Zhang
Tianyuan Zhang
Yiping Lu
Zhanxing Zhu
Bin Dong
AAML
376
384
0
02 May 2019
Adversarial Training for Free!
Neural Information Processing Systems (NeurIPS), 2019
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
729
1,370
0
29 Apr 2019
Defensive Quantization: When Efficiency Meets Robustness
Ji Lin
Chuang Gan
Song Han
MQ
257
211
0
17 Apr 2019
On Evaluating Adversarial Robustness
Nicholas Carlini
Anish Athalye
Nicolas Papernot
Wieland Brendel
Jonas Rauber
Dimitris Tsipras
Ian Goodfellow
Aleksander Madry
Alexey Kurakin
ELM
AAML
466
959
0
18 Feb 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack
Computer Vision and Pattern Recognition (CVPR), 2018
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
168
308
0
22 Nov 2018
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
Huan Zhang
Pengchuan Zhang
Cho-Jui Hsieh
AAML
157
67
0
28 Oct 2018
Limitations of the Lipschitz constant as a defense against adversarial examples
Todd P. Huster
C. Chiang
R. Chadha
AAML
159
86
0
25 Jul 2018
Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions
Adnan Siraj Rakin
Jinfeng Yi
Boqing Gong
Deliang Fan
AAML
MQ
197
51
0
18 Jul 2018
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