Scaleable input gradient regularization for adversarial robustness

27 May 2019

Papers citing "Scaleable input gradient regularization for adversarial robustness"

18 / 18 papers shown

Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 46 0 0 06 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 146 0 0 05 May 2025
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 54 20 0 31 Dec 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction Hossein Resani B. Nasihatkon 3DV 118 0 0 08 Oct 2024
$H$ -Consistency Guarantees for Regression Anqi Mao M. Mohri Yutao Zhong 31 9 0 28 Mar 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 52 0 0 08 Feb 2024
$Releasing Inequality Phenomena in $L_{\infty}$-Adversarial Training via Input Gradient Distillation$ Releasing Inequality Phenomena in $L_{\infty}$ -Adversarial Training via Input Gradient Distillation Junxi Chen Junhao Dong Xiaohua Xie AAML 18 0 0 16 May 2023
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 16 5 0 09 Jan 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning Leon Bungert Kerrek Stinson 24 12 0 28 Nov 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints Jiajin Li Si-Jian Lin Jose H. Blanchet Viet Anh Nguyen OOD 39 11 0 04 Oct 2022
The Geometry of Adversarial Training in Binary Classification Leon Bungert Nicolas García Trillos Ryan W. Murray AAML 22 22 0 26 Nov 2021
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems Jeremy Yu Lu Lu Xuhui Meng George Karniadakis PINN AI4CE 19 449 0 01 Nov 2021
On the regularized risk of distributionally robust learning over deep neural networks Camilo A. Garcia Trillos Nicolas García Trillos OOD 37 10 0 13 Sep 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude Fu Lee Wang Yanghao Zhang Yanbin Zheng Wenjie Ruan 23 1 0 04 Mar 2021
On the human-recognizability phenomenon of adversarially trained deep image classifiers Jonathan W. Helland Nathan M. VanHoudnos AAML 22 4 0 18 Dec 2020
Input Hessian Regularization of Neural Networks Waleed Mustafa Robert A. Vandermeulen Marius Kloft AAML 11 12 0 14 Sep 2020
Partial differential equation regularization for supervised machine learning Jillian R. Fisher 24 2 0 03 Oct 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 284 5,835 0 08 Jul 2016