Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients
Authors: Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen | Published: 2018-05-23 | Updated: 2018-06-07
Phocas: dimensional Byzantine-resilient stochastic gradient descent
Authors: Cong Xie, Oluwasanmi Koyejo, Indranil Gupta | Published: 2018-05-23
Approximate Newton-based statistical inference using only stochastic gradients
Authors: Tianyang Li, Anastasios Kyrillidis, Liu Liu, Constantine Caramanis | Published: 2018-05-23 | Updated: 2019-02-05
Adversarially Robust Training through Structured Gradient Regularization
Authors: Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann | Published: 2018-05-22
Adversarial Attacks on Neural Networks for Graph Data
Authors: Daniel Zügner, Amir Akbarnejad, Stephan Günnemann | Published: 2018-05-21 | Updated: 2021-12-09
Constructing Unrestricted Adversarial Examples with Generative Models
Authors: Yang Song, Rui Shu, Nate Kushman, Stefano Ermon | Published: 2018-05-21 | Updated: 2018-12-02
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference
Authors: Ruying Bao, Sihang Liang, Qingcan Wang | Published: 2018-05-21 | Updated: 2018-09-29
Targeted Adversarial Examples for Black Box Audio Systems
Authors: Rohan Taori, Amog Kamsetty, Brenton Chu, Nikita Vemuri | Published: 2018-05-20 | Updated: 2019-08-20
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks
Authors: Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha | Published: 2018-05-20 | Updated: 2019-10-03
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Authors: Pouya Samangouei, Maya Kabkab, Rama Chellappa | Published: 2018-05-17 | Updated: 2018-05-18