Sparsity-based Defense against Adversarial Attacks on Linear Classifiers

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Sparsity-based Defense against Adversarial Attacks on Linear Classifiers

15 January 2018

S. Gopalakrishnan

Upamanyu Madhow

Ramtin Pedarsani

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Papers citing "Sparsity-based Defense against Adversarial Attacks on Linear Classifiers"

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Title
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 76 2 0 24 May 2024
$Binary Classification Under $\ell_0$ Attacks for General Noise Distribution$ Binary Classification Under $\ell_0$ Attacks for General Noise Distribution Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 99 0 0 09 Mar 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 56 2 0 23 Jan 2022
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing Bhagyashree Puranik Upamanyu Madhow Ramtin Pedarsani AAML 42 4 0 04 Dec 2021
Group-Structured Adversarial Training Farzan Farnia Amirali Aghazadeh James Zou David Tse AAML 149 0 0 18 Jun 2021
$Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model$ Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 62 8 0 05 Apr 2021
Adversarially Robust Classification based on GLRT Bhagyashree Puranik Upamanyu Madhow Ramtin Pedarsani VLM AAML 58 4 0 16 Nov 2020
Adversarial Robustness of Supervised Sparse Coding Jeremias Sulam Ramchandran Muthumukar R. Arora AAML 70 23 0 22 Oct 2020
Polarizing Front Ends for Robust CNNs Can Bakiskan S. Gopalakrishnan Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 37 4 0 22 Feb 2020
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks R. Sahay Rehana Mahfuz Aly El Gamal AAML 31 5 0 13 Jun 2019
On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks P. Langenberg E. Balda Arash Behboodi R. Mathar 53 16 0 29 Jan 2019
Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples Kamil Nar Orhan Ocal S. Shankar Sastry Kannan Ramchandran AAML 90 54 0 24 Jan 2019
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach R. Sahay Rehana Mahfuz Aly El Gamal 55 34 0 07 Dec 2018
Robust Adversarial Learning via Sparsifying Front Ends S. Gopalakrishnan Zhinus Marzi Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 58 3 0 24 Oct 2018
Sparse DNNs with Improved Adversarial Robustness Yiwen Guo Chao Zhang Changshui Zhang Yurong Chen AAML 98 154 0 23 Oct 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 107 229 0 18 Jul 2018
Combating Adversarial Attacks Using Sparse Representations S. Gopalakrishnan Zhinus Marzi Upamanyu Madhow Ramtin Pedarsani AAML 59 24 0 11 Mar 2018