Efficient Adversarial Training with Transferable Adversarial Examples

Efficient Adversarial Training with Transferable Adversarial Examples

27 December 2019

Papers citing "Efficient Adversarial Training with Transferable Adversarial Examples"

12 / 62 papers shown

Title
Group-wise Inhibition based Feature Regularization for Robust Classification Haozhe Liu Haoqian Wu Weicheng Xie Feng Liu Linlin Shen OOD 13 16 0 03 Mar 2021
Meta Adversarial Training against Universal Patches J. H. Metzen Nicole Finnie Robin Hutmacher OOD AAML 17 21 0 27 Jan 2021
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning Ahmadreza Jeddi M. Shafiee A. Wong AAML 17 37 0 25 Dec 2020
Amata: An Annealing Mechanism for Adversarial Training Acceleration Nanyang Ye Qianxiao Li Xiao-Yun Zhou Zhanxing Zhu AAML 10 15 0 15 Dec 2020
Content-Adaptive Pixel Discretization to Improve Model Robustness Ryan Feng Wu-chi Feng Atul Prakash AAML 20 0 0 03 Dec 2020
Voting based ensemble improves robustness of defensive models Devvrit Minhao Cheng Cho-Jui Hsieh Inderjit Dhillon OOD FedML AAML 36 12 0 28 Nov 2020
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training Zichao Li Liyuan Liu Chengyu Dong Jingbo Shang AAML 6 8 0 15 Oct 2020
Attacking and Defending Machine Learning Applications of Public Cloud Dou Goodman Xin Hao SILM AAML 11 7 0 27 Jul 2020
Understanding and Diagnosing Vulnerability under Adversarial Attacks Haizhong Zheng Ziqi Zhang Honglak Lee A. Prakash FAtt AAML 17 6 0 17 Jul 2020
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks Zain Khan Jirong Yi R. Mudumbai Xiaodong Wu Weiyu Xu AAML MLAU 17 1 0 26 Mar 2020
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems Ryan Feng Neal Mangaokar Jiefeng Chen Earlence Fernandes S. Jha Atul Prakash OOD AAML 6 10 0 17 Feb 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,109 0 04 Nov 2016