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

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

20 October 2022

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

9 / 9 papers shown

Title
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 Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 38 1 0 02 Oct 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 38 3 0 03 Jul 2024
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 14 4 0 12 Sep 2023
Raising the Bar for Certified Adversarial Robustness with Diffusion Models Thomas Altstidl David Dobre Björn Eskofier Gauthier Gidel Leo Schwinn DiffM 34 7 0 17 May 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 30 52 0 06 Mar 2023
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization Bo-Han Kung Shang-Tse Chen AAML 19 0 0 01 Feb 2023
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla S. Feizi AAML 38 54 0 05 Aug 2021
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 27 128 0 09 Sep 2020