Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
Authors: Pantelis Elinas, Edwin V. Bonilla, Louis Tiao | Published: 2019-06-05 | Updated: 2020-10-21
ポイズニング
Unlabeled Data Improves Adversarial Robustness
Authors: Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, Percy Liang, John C. Duchi | Published: 2019-05-31 | Updated: 2022-01-13
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Authors: Andrey Malinin, Mark Gales | Published: 2019-05-31 | Updated: 2019-12-02
Bandlimiting Neural Networks Against Adversarial Attacks
Authors: Yuping Lin, Kasra Ahmadi K. A., Hui Jiang | Published: 2019-05-30
An Investigation of Data Poisoning Defenses for Online Learning
Authors: Yizhen Wang, Somesh Jha, Kamalika Chaudhuri | Published: 2019-05-28 | Updated: 2020-02-19
Certifiably Robust Interpretation in Deep Learning
Authors: Alexander Levine, Sahil Singla, Soheil Feizi | Published: 2019-05-28 | Updated: 2019-10-17
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics
Authors: Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder | Published: 2019-05-28 | Updated: 2019-11-27
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Authors: Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang | Published: 2019-05-28
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
Authors: Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde | Published: 2019-05-27 | Updated: 2022-10-01
Non-Determinism in Neural Networks for Adversarial Robustness
Authors: Daanish Ali Khan, Linhong Li, Ninghao Sha, Zhuoran Liu, Abelino Jimenez, Bhiksha Raj, Rita Singh | Published: 2019-05-26