A Bayes-Optimal View on Adversarial Examples
Authors: Eitan Richardson, Yair Weiss | Published: 2020-02-20 | Updated: 2021-03-17
ロバスト性評価
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective
Authors: Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem | Published: 2020-02-20 | Updated: 2022-08-22
On Adaptive Attacks to Adversarial Example Defenses
Authors: Florian Tramer, Nicholas Carlini, Wieland Brendel, Aleksander Madry | Published: 2020-02-19 | Updated: 2020-10-23
Variational Encoder-based Reliable Classification
Authors: Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer | Published: 2020-02-19 | Updated: 2020-10-17
Randomized Smoothing of All Shapes and Sizes
Authors: Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li | Published: 2020-02-19 | Updated: 2020-07-23
Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense
Authors: Guanlin Liu, Lifeng lai | Published: 2020-02-19 | Updated: 2020-02-21
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
Authors: Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning | Published: 2020-02-17
Scalable Quantitative Verification For Deep Neural Networks
Authors: Teodora Baluta, Zheng Leong Chua, Kuldeep S. Meel, Prateek Saxena | Published: 2020-02-17 | Updated: 2021-03-23
Adversarial Distributional Training for Robust Deep Learning
Authors: Yinpeng Dong, Zhijie Deng, Tianyu Pang, Hang Su, Jun Zhu | Published: 2020-02-14 | Updated: 2020-11-19
CEB Improves Model Robustness
Authors: Ian Fischer, Alexander A. Alemi | Published: 2020-02-13