Differentially Private ADMM for Distributed Medical Machine Learning
Authors: Jiahao Ding, Xiaoqi Qin, Wenjun Xu, Yanmin Gong, Chi Zhang, Miao Pan | Published: 2019-01-07 | Updated: 2020-12-09
RF Jamming Classification using Relative Speed Estimation in Vehicular Wireless Networks
Authors: Dimitrios Kosmanos, Dimitrios Karagiannis, Antonios Argyriou, Spyros Lalis, Leandros Maglaras | Published: 2018-12-31
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Authors: Haishan Ye, Zhichao Huang, Cong Fang, Chris Junchi Li, Tong Zhang | Published: 2018-12-29 | Updated: 2019-03-20
Adversarial Attack and Defense on Graph Data: A Survey
Authors: Lichao Sun, Yingtong Dou, Carl Yang, Ji Wang, Yixin Liu, Philip S. Yu, Lifang He, Bo Li | Published: 2018-12-26 | Updated: 2022-10-06
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples
Authors: Qiang Zeng, Jianhai Su, Chenglong Fu, Golam Kayas, Lannan Luo | Published: 2018-12-26 | Updated: 2019-12-03
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning
Authors: Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee | Published: 2018-12-25 | Updated: 2020-01-04
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
Authors: Thomas Brunner, Frederik Diehl, Michael Truong Le, Alois Knoll | Published: 2018-12-24 | Updated: 2019-05-05
Increasing the adversarial robustness and explainability of capsule networks with $γ$-capsules
Authors: David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez | Published: 2018-12-23 | Updated: 2019-12-05
Towards resilient machine learning for ransomware detection
Authors: Li Chen, Chih-Yuan Yang, Anindya Paul, Ravi Sahita | Published: 2018-12-21 | Updated: 2019-05-16
The future of statistical disclosure control
Authors: Mark Elliot, Josep Domingo-Ferrer | Published: 2018-12-21