Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Authors: Andrew Ilyas, Logan Engstrom, Aleksander Madry | Published: 2018-07-20 | Updated: 2019-03-28
Adversarial attack
Machine Learning Attack and Defense on Voltage Over-scaling-based Lightweight Authentication
Authors: Jiliang Zhang, Haihan Su | Published: 2018-07-20 | Updated: 2018-10-18
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
Authors: Tong Chen, Wenjia Niu, Yingxiao Xiang, Xiaoxuan Bai, Jiqiang Liu, Zhen Han, Gang Li | Published: 2018-07-18
Motivating the Rules of the Game for Adversarial Example Research
Authors: Justin Gilmer, Ryan P. Adams, Ian Goodfellow, David Andersen, George E. Dahl | Published: 2018-07-18 | Updated: 2018-07-20
Online Robust Policy Learning in the Presence of Unknown Adversaries
Authors: Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar | Published: 2018-07-16
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
Authors: Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh | Published: 2018-07-12
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Authors: Tugba Erpek, Yalin E. Sagduyu, Yi Shi | Published: 2018-07-03 | Updated: 2018-12-13
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
Authors: Anish Athalye, Nicholas Carlini | Published: 2018-04-10
Adversarial Training Versus Weight Decay
Authors: Angus Galloway, Thomas Tanay, Graham W. Taylor | Published: 2018-04-10 | Updated: 2018-07-23
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks
Authors: Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin | Published: 2018-04-09