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Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100

Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100

5 August 2021
Sahil Singla
Surbhi Singla
S. Feizi
    AAML
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Papers citing "Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100"

6 / 6 papers shown
Title
1-Lipschitz Neural Networks are more expressive with N-Activations
1-Lipschitz Neural Networks are more expressive with N-Activations
Bernd Prach
Christoph H. Lampert
AAML
FAtt
8
0
0
10 Nov 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Mahyar Fazlyab
Taha Entesari
Aniket Roy
Ramalingam Chellappa
AAML
11
11
0
29 Sep 2023
Improved techniques for deterministic l2 robustness
Improved techniques for deterministic l2 robustness
Sahil Singla
S. Feizi
AAML
10
9
0
15 Nov 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz
  Networks
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks
Bernd Prach
Christoph H. Lampert
22
35
0
05 Aug 2022
Provably Adversarially Robust Nearest Prototype Classifiers
Provably Adversarially Robust Nearest Prototype Classifiers
Václav Voráček
Matthias Hein
AAML
13
11
0
14 Jul 2022
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
347
0
14 Jun 2018
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