Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah | Published: 2020-02-22 | Updated: 2020-02-27 Performance EvaluationAdversarial ExampleAdversarial Training 2020.02.22 2025.05.28 Literature Database
Robustness from Simple Classifiers Authors: Sharon Qian, Dimitris Kalimeris, Gal Kaplun, Yaron Singer | Published: 2020-02-21 Robustness EvaluationAdversarial TrainingDefense Method 2020.02.21 2025.05.28 Literature Database
Adversarial Detection and Correction by Matching Prediction Distributions Authors: Giovanni Vacanti, Arnaud Van Looveren | Published: 2020-02-21 Advice ProvisionAdversarial TrainingDefense Method 2020.02.21 2025.05.28 Literature Database
A Bayes-Optimal View on Adversarial Examples Authors: Eitan Richardson, Yair Weiss | Published: 2020-02-20 | Updated: 2021-03-17 Robustness EvaluationAdversarial ExampleAdversarial Training 2020.02.20 2025.05.28 Literature Database
Boosting Adversarial Training with Hypersphere Embedding Authors: Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Jun Zhu, Hang Su | Published: 2020-02-20 | Updated: 2020-11-25 Training MethodEffective Perturbation MethodsAdversarial Training 2020.02.20 2025.05.28 Literature Database
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Authors: Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi | Published: 2020-02-11 | Updated: 2020-08-15 Robustness EvaluationAdversarial ExampleAdversarial Training 2020.02.11 2025.05.28 Literature Database
Adversarial Robustness for Code Authors: Pavol Bielik, Martin Vechev | Published: 2020-02-11 | Updated: 2020-08-15 PoisoningRobustness Improvement MethodAdversarial Training 2020.02.11 2025.05.28 Literature Database
Improving the affordability of robustness training for DNNs Authors: Sidharth Gupta, Parijat Dube, Ashish Verma | Published: 2020-02-11 | Updated: 2020-04-30 Training MethodRobustness Improvement MethodAdversarial Training 2020.02.11 2025.05.28 Literature Database
Square Attack: a query-efficient black-box adversarial attack via random search Authors: Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein | Published: 2019-11-29 | Updated: 2020-07-29 Model EvaluationAdversarial Attack DetectionAdversarial Training 2019.11.29 2025.05.28 Literature Database
A Useful Taxonomy for Adversarial Robustness of Neural Networks Authors: Leslie N. Smith | Published: 2019-10-23 Adversarial ExampleAdversarial TrainingEffectiveness Analysis of Defense Methods 2019.10.23 2025.05.28 Literature Database