Exploring Architectural Ingredients of Adversarially Robust Deep Neural
Networks

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

7 October 2021

Quanquan Gu

Papers citing "Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks"

18 / 18 papers shown

Title
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 57 0 0 13 Jan 2025
Improving Adversarial Robustness via Channel-wise Activation Suppressing Yang Bai Yuyuan Zeng Yong Jiang Shutao Xia Xingjun Ma Yisen Wang AAML 47 129 0 11 Mar 2021
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 41 95 0 08 Oct 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 29 34 0 03 Aug 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 177 1,821 0 03 Mar 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 62 794 0 26 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 157 827 0 19 Feb 2020
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 58 564 0 21 Nov 2019
Intriguing properties of adversarial training at scale Cihang Xie Alan Yuille AAML 35 68 0 10 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 80 752 0 31 May 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle Dinghuai Zhang Tianyuan Zhang Yiping Lu Zhanxing Zhu Bin Dong AAML 83 358 0 02 May 2019
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 145 4,326 0 24 Jun 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 70 473 0 12 Apr 2018
Mitigating Adversarial Effects Through Randomization Cihang Xie Jianyu Wang Zhishuai Zhang Zhou Ren Alan Yuille AAML 74 1,050 0 06 Nov 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 101 800 0 28 Apr 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 194 8,030 0 13 Aug 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 107 8,067 0 16 Jun 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 101 14,831 1 21 Dec 2013

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