Simultaneous Adversarial Training – Learn from Others Mistakes
Authors: Zukang Liao | Published: 2018-07-21 | Updated: 2018-09-10
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Authors: Andrew Ilyas, Logan Engstrom, Aleksander Madry | Published: 2018-07-20 | Updated: 2019-03-28
Machine Learning Attack and Defense on Voltage Over-scaling-based Lightweight Authentication
Authors: Jiliang Zhang, Haihan Su | Published: 2018-07-20 | Updated: 2018-10-18
Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior
Authors: Vineeth S. Bhaskara, Debanjan Bhattacharyya | Published: 2018-07-19 | Updated: 2018-07-30
Sequence to Logic with Copy and Cache
Authors: Javid Dadashkarimi, Sekhar Tatikonda | Published: 2018-07-19
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
Authors: Tong Chen, Wenjia Niu, Yingxiao Xiang, Xiaoxuan Bai, Jiqiang Liu, Zhen Han, Gang Li | Published: 2018-07-18
Motivating the Rules of the Game for Adversarial Example Research
Authors: Justin Gilmer, Ryan P. Adams, Ian Goodfellow, David Andersen, George E. Dahl | Published: 2018-07-18 | Updated: 2018-07-20
Efficient Deep Learning on Multi-Source Private Data
Authors: Nick Hynes, Raymond Cheng, Dawn Song | Published: 2018-07-17
Online Robust Policy Learning in the Presence of Unknown Adversaries
Authors: Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar | Published: 2018-07-16
Machine Learning with Membership Privacy using Adversarial Regularization
Authors: Milad Nasr, Reza Shokri, Amir Houmansadr | Published: 2018-07-16