Defending Against Adversarial Attacks by Leveraging an Entire GAN
Authors: Gokula Krishnan Santhanam, Paulina Grnarova | Published: 2018-05-27
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Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques
Authors: Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Al-kasassbeh, Mohammad Almseidin | Published: 2018-05-26 | Updated: 2018-10-05
Unsupervised Learning for Trustworthy IoT
Authors: Nikhil Banerjee, Thanassis Giannetsos, Emmanouil Panaousis, Clive Cheong Took | Published: 2018-05-25
Detecting Deceptive Reviews using Generative Adversarial Networks
Authors: Hojjat Aghakhani, Aravind Machiry, Shirin Nilizadeh, Christopher Kruegel, Giovanni Vigna | Published: 2018-05-25
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