Semantics Preserving Adversarial Learning
Authors: Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad | Published: 2019-03-10 | Updated: 2019-12-21
文献データベース
A Novel Approach for Protection of Accounts’ Names against Hackers Combining Cluster Analysis and Chaotic Theory
Authors: Desislav Andreev, Simona Petrakieva, Ina Taralova | Published: 2019-03-08
Detection of Advanced Malware by Machine Learning Techniques
Authors: Sanjay Sharma, C. Rama Krishna, Sanjay K. Sahay | Published: 2019-03-07
Adversarial Out-domain Examples for Generative Models
Authors: Dario Pasquini, Marco Mingione, Massimo Bernaschi | Published: 2019-03-07 | Updated: 2019-05-13
GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier
Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah | Published: 2019-03-06
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning
Authors: Hanan Hindy, David Brosset, Ethan Bayne, Amar Seeam, Xavier Bellekens | Published: 2019-03-06
Online Data Poisoning Attack
Authors: Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard | Published: 2019-03-05 | Updated: 2019-05-30
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Authors: Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu | Published: 2019-03-05 | Updated: 2019-05-22
Complement Objective Training
Authors: Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan | Published: 2019-03-04 | Updated: 2019-03-21
PuVAE: A Variational Autoencoder to Purify Adversarial Examples
Authors: Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho | Published: 2019-03-02