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A Recipe for Improved Certifiable Robustness
v1v2 (latest)

A Recipe for Improved Certifiable Robustness

4 October 2023
Kai Hu
Klas Leino
Zifan Wang
Matt Fredrikson
    AAML
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "A Recipe for Improved Certifiable Robustness"

5 / 5 papers shown
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
AAML
346
1
0
07 Oct 2024
Towards Universal Certified Robustness with Multi-Norm Training
Towards Universal Certified Robustness with Multi-Norm Training
Enyi Jiang
Gagandeep Singh
Gagandeep Singh
AAML
631
2
0
03 Oct 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted
  Activations
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted ActivationsInternational Conference on Learning Representations (ICLR), 2024
Patricia Pauli
Aaron J. Havens
Alexandre Araujo
Siddharth Garg
Farshad Khorrami
Frank Allgöwer
Bin Hu
348
7
0
25 Jan 2024
Is Certifying $\ell_p$ Robustness Still Worthwhile?
Is Certifying ℓp\ell_pℓp​ Robustness Still Worthwhile?
Ravi Mangal
Klas Leino
Zifan Wang
Kai Hu
Weicheng Yu
Corina S. Pasareanu
Anupam Datta
Matt Fredrikson
AAMLOOD
302
1
0
13 Oct 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
A Unified Algebraic Perspective on Lipschitz Neural NetworksInternational Conference on Learning Representations (ICLR), 2023
Alexandre Araujo
Aaron J. Havens
Blaise Delattre
A. Allauzen
Bin Hu
AAML
303
67
0
06 Mar 2023
1
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