ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.11620
  4. Cited By
LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified
  Robustness

LOT: Layer-wise Orthogonal Training on Improving ℓ2\ell_2ℓ2​ Certified Robustness

20 October 2022
Xiaojun Xu
Linyi Li
Bo-wen Li
    OOD
    AAML
ArXivPDFHTML

Papers citing "LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness"

6 / 6 papers shown
Title
Towards Universal Certified Robustness with Multi-Norm Training
Towards Universal Certified Robustness with Multi-Norm Training
Enyi Jiang
Gagandeep Singh
Gagandeep Singh
AAML
60
1
0
03 Oct 2024
On Using Certified Training towards Empirical Robustness
On Using Certified Training towards Empirical Robustness
Alessandro De Palma
Serge Durand
Zakaria Chihani
François Terrier
Caterina Urban
OOD
AAML
33
1
0
02 Oct 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
Meiyu Zhong
Ravi Tandon
36
3
0
03 Jul 2024
Certified Robust Models with Slack Control and Large Lipschitz Constants
Certified Robust Models with Slack Control and Large Lipschitz Constants
M. Losch
David Stutz
Bernt Schiele
Mario Fritz
9
4
0
12 Sep 2023
Raising the Bar for Certified Adversarial Robustness with Diffusion
  Models
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
Thomas Altstidl
David Dobre
Björn Eskofier
Gauthier Gidel
Leo Schwinn
DiffM
25
7
0
17 May 2023
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla
Surbhi Singla
S. Feizi
AAML
32
54
0
05 Aug 2021
1