Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing

1 November 2024

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Papers citing "Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing"

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Title
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 72 56 0 06 Mar 2023
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 127 32 0 29 Jun 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 80 69 0 18 Apr 2022
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach Saber Jafarpour Matthew Abate A. Davydov Francesco Bullo Samuel Coogan AAML 57 8 0 10 Dec 2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Yujia Huang Huan Zhang Yuanyuan Shi J Zico Kolter Anima Anandkumar 100 78 0 02 Nov 2021
Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai V. Koltun J. Zico Kolter 69 58 0 28 Jun 2021
Lipschitz Bounded Equilibrium Networks Max Revay Ruigang Wang I. Manchester 57 76 0 05 Oct 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 94 212 0 15 Jun 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 76 130 0 15 Jun 2020
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 64 181 0 17 Aug 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman Greg Yang Jungshian Li Pengchuan Zhang Huan Zhang Ilya P. Razenshteyn Sébastien Bubeck AAML 90 552 0 09 Jun 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 157 634 0 02 Apr 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 171 2,052 0 08 Feb 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 455 5,168 0 19 Jun 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 249 3,195 0 01 Feb 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 119 969 0 29 Jan 2018
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 171 972 0 01 Mar 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 477 3,148 0 04 Nov 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014