Security Matters: A Survey on Adversarial Machine Learning
Authors: Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen | Published: 2018-10-16 | Updated: 2018-10-23
文献データベース
Adaptive Fraud Detection System Using Dynamic Risk Features
Authors: Huiying Mao, Yung-wen Liu, Yuting Jia, Jay Nanduri | Published: 2018-10-10
The Adversarial Attack and Detection under the Fisher Information Metric
Authors: Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen | Published: 2018-10-09 | Updated: 2019-02-09
Privacy-Preserving Multiparty Learning For Logistic Regression
Authors: Wei Du, Ang Li, Qinghua Li | Published: 2018-10-04
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection
Authors: Jinoh Kim, Caitlin Sim, Jinhwan Choi | Published: 2018-10-03
DeepImageSpam: Deep Learning based Image Spam Detection
Authors: Amara Dinesh Kumar, Vinayakumar R, Soman KP | Published: 2018-10-03
Adversarial Examples – A Complete Characterisation of the Phenomenon
Authors: Alexandru Constantin Serban, Erik Poll, Joost Visser | Published: 2018-10-02 | Updated: 2019-02-17
Improving the Generalization of Adversarial Training with Domain Adaptation
Authors: Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft | Published: 2018-10-01 | Updated: 2019-03-15
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Authors: Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh | Published: 2018-10-01 | Updated: 2019-05-04
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks
Authors: Kenneth T. Co, Luis Muñoz-González, Sixte de Maupeou, Emil C. Lupu | Published: 2018-09-30 | Updated: 2019-11-23