Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated
Gradients

Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients

28 September 2020

Yifei Huang

Hongyang R. Zhang

Papers citing "Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients"

6 / 6 papers shown

Title
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning Anh Tong Thanh Nguyen-Tang Dongeun Lee Duc Nguyen Toan M. Tran David Hall Cheongwoong Kang Jaesik Choi 35 0 0 03 Mar 2025
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 40 22 0 10 Oct 2023
PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs Dániel Rácz M. Petreczky Bálint Daróczy 57 0 0 07 Jul 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 35 0 0 02 Mar 2023
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening Martin Gonzalez H. Hajri Loic Cantat M. Petreczky 31 1 0 16 Jun 2022
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 27 155 0 08 Sep 2020