Adversarial Noise Attacks of Deep Learning Architectures — Stability Analysis via Sparse Modeled Signals
Authors: Yaniv Romano, Aviad Aberdam, Jeremias Sulam, Michael Elad | Published: 2018-05-29 | Updated: 2019-08-05
FairGAN: Fairness-aware Generative Adversarial Networks
Authors: Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu | Published: 2018-05-28
The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques
Authors: Tiantian Ji, Yue Wu, Chang Wang, Xi Zhang, Zhongru Wang | Published: 2018-05-28 | Updated: 2018-05-30
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Authors: Gokula Krishnan Santhanam, Paulina Grnarova | Published: 2018-05-27
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