Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness
Authors: Silvija Kokalj-Filipovic, Rob Miller | Published: 2019-02-16
敵対的攻撃手法
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples?
Authors: Cody Burkard, Brent Lagesse | Published: 2019-02-14
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
Authors: Kevin Roth, Yannic Kilcher, Thomas Hofmann | Published: 2019-02-13 | Updated: 2019-05-09
Adversarial Samples on Android Malware Detection Systems for IoT Systems
Authors: Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani | Published: 2019-02-12
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis
Authors: Danilo Vasconcellos Vargas, Jiawei Su | Published: 2019-02-08
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
Authors: Huangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang, Wei Wang | Published: 2019-01-12 | Updated: 2020-01-14
Exploring Adversarial Examples in Malware Detection
Authors: Octavian Suciu, Scott E. Coull, Jeffrey Johns | Published: 2018-10-18 | Updated: 2019-04-13
A Training-based Identification Approach to VIN Adversarial Examples
Authors: Yingdi Wang, Wenjia Niu, Tong Chen, Yingxiao Xiang, Jingjing Liu, Gang Li, Jiqiang Liu | Published: 2018-10-18
Security Matters: A Survey on Adversarial Machine Learning
Authors: Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen | Published: 2018-10-16 | Updated: 2018-10-23
The Adversarial Attack and Detection under the Fisher Information Metric
Authors: Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen | Published: 2018-10-09 | Updated: 2019-02-09