Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
Authors: Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen | Published: 2019-07-30 | Updated: 2019-09-09
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
Authors: Utku Ozbulak, Arnout Van Messem, Wesley De Neve | Published: 2019-07-30
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
Authors: Utku Ozbulak, Arnout Van Messem, Wesley De Neve | Published: 2019-07-30
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity
Authors: Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang | Published: 2019-07-30 | Updated: 2023-12-11
A Deep Learning Based Attack for The Chaos-based Image Encryption
Authors: Chen He, Kan Ming, Yongwei Wang, Z. Jane Wang | Published: 2019-07-29
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
Authors: Hossein Hosseini, Sreeram Kannan, Radha Poovendran | Published: 2019-07-28
Fast Authentication and Progressive Authorization in Large-Scale IoT: How to Leverage AI for Security Enhancement?
Authors: He Fang, Angie Qi, Xianbin Wang | Published: 2019-07-28
Q-MIND: Defeating Stealthy DoS Attacks in SDN with a Machine-learning based Defense Framework
Authors: Trung V. Phan, T M Rayhan Gias, Syed Tasnimul Islam, Truong Thu Huong, Nguyen Huu Thanh, Thomas Bauschert | Published: 2019-07-27 | Updated: 2019-09-03
An Enhanced Machine Learning-based Biometric Authentication System Using RR-Interval Framed Electrocardiograms
Authors: Amang Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo | Published: 2019-07-27 | Updated: 2019-12-01
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin
Authors: Kaiwen Wu, Yaoliang Yu | Published: 2019-07-26