ATRO: Adversarial Training with a Rejection Option
Authors: Masahiro Kato, Zhenghang Cui, Yoshihiro Fukuhara | Published: 2020-10-24
敵対的サンプル
Certified Distributional Robustness on Smoothed Classifiers
Authors: Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang | Published: 2020-10-21 | Updated: 2021-04-30
A Survey of Machine Learning Techniques in Adversarial Image Forensics
Authors: Ehsan Nowroozi, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo | Published: 2020-10-19
Towards Resistant Audio Adversarial Examples
Authors: Tom Dörr, Karla Markert, Nicolas M. Müller, Konstantin Böttinger | Published: 2020-10-14
Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems
Authors: AKM Iqtidar Newaz, Nur Imtiazul Haque, Amit Kumar Sikder, Mohammad Ashiqur Rahman, A. Selcuk Uluagac | Published: 2020-10-07
Do Wider Neural Networks Really Help Adversarial Robustness?
Authors: Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu | Published: 2020-10-03 | Updated: 2021-08-14
Deep learning for time series classification
Authors: Hassan Ismail Fawaz | Published: 2020-10-01
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Authors: Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li | Published: 2020-09-30 | Updated: 2020-10-18
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability
Authors: Ishai Rosenberg, Shai Meir, Jonathan Berrebi, Ilay Gordon, Guillaume Sicard, Eli David | Published: 2020-09-28 | Updated: 2022-06-01
Beneficial Perturbations Network for Defending Adversarial Examples
Authors: Shixian Wen, Amanda Rios, Laurent Itti | Published: 2020-09-27 | Updated: 2021-09-13