Boosting the Certified Robustness of L-infinity Distance Nets

v1v2v3v4 (latest)

Boosting the Certified Robustness of L-infinity Distance Nets

13 October 2021

ArXiv (abs)PDF HTML Github (22★)

Papers citing "Boosting the Certified Robustness of L-infinity Distance Nets"

13 / 13 papers shown

Title
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack Kuo Gai Sicong Wang Shihua Zhang AAML 182 0 0 01 Aug 2024
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks Ziquan Liu Zhuo Zhi Ilija Bogunovic Carsten Gerner-Beuerle Miguel R. D. Rodrigues AAML 136 2 0 04 Feb 2024
Raising the Bar for Certified Adversarial Robustness with Diffusion Models Thomas Altstidl David Dobre Björn Eskofier Gauthier Gidel Leo Schwinn DiffM 126 9 0 17 May 2023
Asymmetric Certified Robustness via Feature-Convex Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Samuel Pfrommer Brendon G. Anderson Julien Piet Somayeh Sojoudi AAML 165 9 0 03 Feb 2023
Improved techniques for deterministic l2 robustnessNeural Information Processing Systems (NeurIPS), 2022 Sahil Singla Soheil Feizi AAML 148 11 0 15 Nov 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound PropagationNeural Information Processing Systems (NeurIPS), 2022 Zhouxing Shi Yihan Wang Huan Zhang Zico Kolter Cho-Jui Hsieh 265 53 0 13 Oct 2022
Certified Training: Small Boxes are All You NeedInternational Conference on Learning Representations (ICLR), 2022 Mark Niklas Muller Franziska Eckert Marc Fischer Martin Vechev AAML 133 58 0 10 Oct 2022
Denoising Masked AutoEncoders Help Robust ClassificationInternational Conference on Learning Representations (ICLR), 2022 Quanlin Wu Hang Ye Yuntian Gu Huishuai Zhang Liwei Wang Di He 201 24 0 10 Oct 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function PerspectiveNeural Information Processing Systems (NeurIPS), 2022 Bohang Zhang Du Jiang Di He Liwei Wang OOD 210 66 0 04 Oct 2022
Sound Randomized Smoothing in Floating-Point ArithmeticsInternational Conference on Learning Representations (ICLR), 2022 Václav Voráček Matthias Hein 160 5 0 14 Jul 2022
On the Certified Robustness for Ensemble Models and BeyondInternational Conference on Learning Representations (ICLR), 2021 Zhuolin Yang Linyi Li Xiaojun Xu B. Kailkhura Tao Xie Yue Liu AAML 142 54 0 22 Jul 2021
On the Paradox of Certified Training Nikola Jovanović Mislav Balunović Maximilian Baader Martin Vechev OOD 145 14 0 12 Feb 2021
SoK: Certified Robustness for Deep Neural NetworksIEEE Symposium on Security and Privacy (IEEE S&P), 2020 Linyi Li Tao Xie Yue Liu AAML 456 140 0 09 Sep 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.