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
ロバスト性向上手法
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Authors: Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy Mann, Pushmeet Kohli | Published: 2020-10-07 | Updated: 2021-03-30
Constraining Logits by Bounded Function for Adversarial Robustness
Authors: Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida | Published: 2020-10-06
Adversarial Boot Camp: label free certified robustness in one epoch
Authors: Ryan Campbell, Chris Finlay, Adam M Oberman | Published: 2020-10-05
Bag of Tricks for Adversarial Training
Authors: Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu | Published: 2020-10-01 | Updated: 2021-03-31
Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning
Authors: Guneet S. Dhillon, Nicholas Carlini | Published: 2020-09-30
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
Evaluating Ensemble Robustness Against Adversarial Attacks
Authors: George Adam, Romain Speciel | Published: 2020-05-12
Robustness Verification for Classifier Ensembles
Authors: Dennis Gross, Nils Jansen, Guillermo A. Pérez, Stephan Raaijmakers | Published: 2020-05-12 | Updated: 2020-07-09
Provable Robust Classification via Learned Smoothed Densities
Authors: Saeed Saremi, Rupesh Srivastava | Published: 2020-05-09