Rademacher Complexity for Adversarially Robust Generalization
Authors: Dong Yin, Kannan Ramchandran, Peter Bartlett | Published: 2018-10-29 | Updated: 2020-07-29
モデルの頑健性保証
Towards Robust Deep Neural Networks
Authors: Timothy E. Wang, Yiming Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal | Published: 2018-10-27 | Updated: 2018-12-04
Evading classifiers in discrete domains with provable optimality guarantees
Authors: Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso | Published: 2018-10-25 | Updated: 2019-07-01
Robust Adversarial Learning via Sparsifying Front Ends
Authors: Soorya Gopalakrishnan, Zhinus Marzi, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-10-24 | Updated: 2021-05-25
Security Matters: A Survey on Adversarial Machine Learning
Authors: Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen | Published: 2018-10-16 | Updated: 2018-10-23
The Adversarial Attack and Detection under the Fisher Information Metric
Authors: Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen | Published: 2018-10-09 | Updated: 2019-02-09
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Authors: Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh | Published: 2018-10-01 | Updated: 2019-05-04
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks
Authors: Kenneth T. Co, Luis Muñoz-González, Sixte de Maupeou, Emil C. Lupu | Published: 2018-09-30 | Updated: 2019-11-23
Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward
Authors: Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha | Published: 2018-09-26
Neural Networks with Structural Resistance to Adversarial Attacks
Authors: Luca de Alfaro | Published: 2018-09-25