Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
Authors: Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou | Published: 2021-06-18 | Updated: 2022-07-07
適応型敵対的訓練
Improved Adversarial Training via Learned Optimizer
Authors: Yuanhao Xiong, Cho-Jui Hsieh | Published: 2020-04-25
Blind Adversarial Training: Balance Accuracy and Robustness
Authors: Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong | Published: 2020-04-10
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system
Authors: Shixian Wen, Laurent Itti | Published: 2019-10-09
Deep Latent Defence
Authors: Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones | Published: 2019-10-09 | Updated: 2020-09-27
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications
Authors: Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari | Published: 2019-10-08
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification
Authors: Eitan Rothberg, Tingting Chen, Luo Jie, Hao Ji | Published: 2019-09-10
Effectiveness of Adversarial Examples and Defenses for Malware Classification
Authors: Robert Podschwadt, Hassan Takabi | Published: 2019-09-10
Adaptive Generation of Unrestricted Adversarial Inputs
Authors: Isaac Dunn, Hadrien Pouget, Tom Melham, Daniel Kroening | Published: 2019-05-07 | Updated: 2019-10-01
Transfer of Adversarial Robustness Between Perturbation Types
Authors: Daniel Kang, Yi Sun, Tom Brown, Dan Hendrycks, Jacob Steinhardt | Published: 2019-05-03