敵対的学習

Logit Pairing Methods Can Fool Gradient-Based Attacks

Authors: Marius Mosbach, Maksym Andriushchenko, Thomas Trost, Matthias Hein, Dietrich Klakow | Published: 2018-10-29 | Updated: 2019-03-12
ロバスト性の要件
敵対的学習
敵対的訓練

RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications

Authors: Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh | Published: 2018-10-28 | Updated: 2019-02-27
トリガーの検知
数理的解析
敵対的学習

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
モデルの頑健性保証
性能評価
敵対的学習

ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks

Authors: Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, Ali Emami | Published: 2018-10-16 | Updated: 2018-12-11
ロバスト性向上手法
性能評価指標
敵対的学習

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
モデルの頑健性保証
敵対的学習
敵対的攻撃手法

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
モデルの頑健性保証
敵対的学習
敵対的攻撃手法

Improving the Generalization of Adversarial Training with Domain Adaptation

Authors: Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft | Published: 2018-10-01 | Updated: 2019-03-15
ロバスト性向上手法
敵対的学習
敵対的攻撃手法

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
モデルの頑健性保証
ロバスト性向上手法
敵対的学習

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
モデルの頑健性保証
敵対的学習
敵対的攻撃手法

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization

Authors: Bao Wang, Alex T. Lin, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher | Published: 2018-09-23 | Updated: 2020-04-29
モデルの頑健性保証
敵対的学習
敵対的攻撃手法