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L2-Nonexpansive Neural Networks

L2-Nonexpansive Neural Networks

22 February 2018
Haifeng Qian
M. Wegman
ArXivPDFHTML

Papers citing "L2-Nonexpansive Neural Networks"

11 / 11 papers shown
Title
Improved techniques for deterministic l2 robustness
Improved techniques for deterministic l2 robustness
Sahil Singla
S. Feizi
AAML
23
9
0
15 Nov 2022
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
32
76
0
02 Nov 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
AAML
TPM
46
100
0
07 Oct 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural
  Networks
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
E. M. Achour
Franccois Malgouyres
Franck Mamalet
16
20
0
12 Aug 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
21
31
0
09 Jun 2021
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated
  Gradients
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Yifei Huang
Yaodong Yu
Hongyang R. Zhang
Yi Ma
Yuan Yao
AAML
37
26
0
28 Sep 2020
Adversarially Robust Neural Architectures
Adversarially Robust Neural Architectures
Minjing Dong
Yanxi Li
Yunhe Wang
Chang Xu
AAML
OOD
42
48
0
02 Sep 2020
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained
  Visual Categorization
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
Mina Basirat
P. Roth
16
8
0
27 Oct 2019
Defending Against Adversarial Examples with K-Nearest Neighbor
Chawin Sitawarin
David Wagner
AAML
8
29
0
23 Jun 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Ernest K. Ryu
Jialin Liu
Sicheng Wang
Xiaohan Chen
Zhangyang Wang
W. Yin
AI4CE
22
347
0
14 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
62
1,227
0
29 Apr 2019
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