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Fantastic Four: Differentiable Bounds on Singular Values of Convolution
  Layers
v1v2v3 (latest)

Fantastic Four: Differentiable Bounds on Singular Values of Convolution Layers

22 November 2019
Sahil Singla
Soheil Feizi
    AAML
ArXiv (abs)PDFHTML

Papers citing "Fantastic Four: Differentiable Bounds on Singular Values of Convolution Layers"

5 / 5 papers shown
Title
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
Bo-Han Lai
Pin-Han Huang
Bo-Han Kung
Shang-Tse Chen
237
0
0
21 May 2025
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable RobustnessComputer Vision and Pattern Recognition (CVPR), 2023
Bernd Prach
Fabio Brau
Giorgio Buttazzo
Christoph H. Lampert
202
11
0
28 Nov 2023
DP-SGD Without Clipping: The Lipschitz Neural Network Way
DP-SGD Without Clipping: The Lipschitz Neural Network WayInternational Conference on Learning Representations (ICLR), 2023
Louis Bethune
Thomas Massena
Thibaut Boissin
Yannick Prudent
Corentin Friedrich
Franck Mamalet
A. Bellet
M. Serrurier
David Vigouroux
290
11
0
25 May 2023
Efficiently Training Low-Curvature Neural Networks
Efficiently Training Low-Curvature Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Suraj Srinivas
Kyle Matoba
Himabindu Lakkaraju
François Fleuret
AAML
190
17
0
14 Jun 2022
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and PrimerACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
247
43
0
09 Jun 2021
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