1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness

28 November 2023

Papers citing "1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness"

9 / 9 papers shown

Title
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss Bo-Han Lai Pin-Han Huang Bo-Han Kung Shang-Tse Chen 24 0 0 21 May 2025
Approximation theory for 1-Lipschitz ResNets Davide Murari Takashi Furuya Carola-Bibiane Schönlieb 29 0 0 17 May 2025
LipShiFT: A Certifiably Robust Shift-based Vision Transformer Rohan Menon Nicola Franco Stephan Günnemann 57 0 0 18 Mar 2025
Group and Shuffle: Efficient Structured Orthogonal Parametrization Mikhail Gorbunov Nikolay Yudin Vera Soboleva Aibek Alanov Alexey Naumov Maxim Rakhuba 50 1 0 14 Jun 2024
1-Lipschitz Neural Networks are more expressive with N-Activations Bernd Prach Christoph H. Lampert AAML FAtt 29 0 0 10 Nov 2023
Robust-by-Design Classification via Unitary-Gradient Neural Networks Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 50 5 0 09 Sep 2022
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 126 0 16 Feb 2021
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 244 350 0 14 Jun 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 251 1,842 0 03 Feb 2017