BOSH: An Efficient Meta Algorithm for Decision-based Attacks
Authors: Zhenxin Xiao, Puyudi Yang, Yuchen Jiang, Kai-Wei Chang, Cho-Jui Hsieh | Published: 2019-09-10 | Updated: 2019-10-14
敵対的サンプルの検知
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
Authors: Gil Fidel, Ron Bitton, Asaf Shabtai | Published: 2019-09-08
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
Authors: Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde | Published: 2019-05-27 | Updated: 2022-10-01
Non-Determinism in Neural Networks for Adversarial Robustness
Authors: Daanish Ali Khan, Linhong Li, Ninghao Sha, Zhuoran Liu, Abelino Jimenez, Bhiksha Raj, Rita Singh | Published: 2019-05-26
Defending against adversarial attacks by randomized diversification
Authors: Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy | Published: 2019-04-01
Semantics Preserving Adversarial Learning
Authors: Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad | Published: 2019-03-10 | Updated: 2019-12-21
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin | Published: 2019-02-28
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples?
Authors: Cody Burkard, Brent Lagesse | Published: 2019-02-14
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples
Authors: Qiang Zeng, Jianhai Su, Chenglong Fu, Golam Kayas, Lannan Luo | Published: 2018-12-26 | Updated: 2019-12-03
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning
Authors: Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee | Published: 2018-12-25 | Updated: 2020-01-04