Architectural Adversarial Robustness: The Case for Deep Pursuit

29 November 2020

Papers citing "Architectural Adversarial Robustness: The Case for Deep Pursuit"

8 / 8 papers shown

Title
A Tensor-based Convolutional Neural Network for Small Dataset Classification Zhenhua Chen David J. Crandall 22 0 0 29 Mar 2023
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning Jiajun Ma Tianyang Hu Wenjia Wang 17 8 0 28 Jan 2023
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Y. Ma FAtt 35 27 0 24 Oct 2022
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 46 100 0 07 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Reframing Neural Networks: Deep Structure in Overcomplete Representations Calvin Murdock George Cazenavette Simon Lucey BDL 33 4 0 10 Mar 2021
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 18 18 0 19 May 2020
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 56 284 0 27 Jul 2016