Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Authors: Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu | Published: 2018-01-15
敵対的サンプル
Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks
Authors: Yongshuai Liu, Jiyu Chen, Hao Chen | Published: 2018-01-09 | Updated: 2018-12-08
Generating Adversarial Examples with Adversarial Networks
Authors: Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song | Published: 2018-01-08 | Updated: 2019-02-14
Building Robust Deep Neural Networks for Road Sign Detection
Authors: Arkar Min Aung, Yousef Fadila, Radian Gondokaryono, Luis Gonzalez | Published: 2017-12-26
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time
Authors: David J. Miller, Yulia Wang, George Kesidis | Published: 2017-12-18 | Updated: 2018-06-28
Improving Network Robustness against Adversarial Attacks with Compact Convolution
Authors: Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo, Rama Chellappa | Published: 2017-12-03 | Updated: 2018-03-22
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Authors: Ambrish Rawat, Martin Wistuba, Maria-Irina Nicolae | Published: 2017-11-22
Enhanced Attacks on Defensively Distilled Deep Neural Networks
Authors: Yujia Liu, Weiming Zhang, Shaohua Li, Nenghai Yu | Published: 2017-11-16
Intriguing Properties of Adversarial Examples
Authors: Ekin D. Cubuk, Barret Zoph, Samuel S. Schoenholz, Quoc V. Le | Published: 2017-11-08
Adversarial Frontier Stitching for Remote Neural Network Watermarking
Authors: Erwan Le Merrer, Patrick Perez, Gilles Trédan | Published: 2017-11-06 | Updated: 2019-08-07