Detecting Deceptive Reviews using Generative Adversarial Networks
Authors: Hojjat Aghakhani, Aravind Machiry, Shirin Nilizadeh, Christopher Kruegel, Giovanni Vigna | Published: 2018-05-25
Literature Database
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance
Authors: Cong Xie, Oluwasanmi Koyejo, Indranil Gupta | Published: 2018-05-25 | Updated: 2019-05-18
Performing Co-Membership Attacks Against Deep Generative Models
Authors: Kin Sum Liu, Chaowei Xiao, Bo Li, Jie Gao | Published: 2018-05-24 | Updated: 2019-09-20
Cautious Deep Learning
Authors: Yotam Hechtlinger, Barnabás Póczos, Larry Wasserman | Published: 2018-05-24 | Updated: 2019-02-27
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