研究方法論

Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks

Authors: He Fang, Xianbin Wang, Stefano Tomasin | Published: 2019-06-30 | Updated: 2019-07-28
セキュリティテスト
機械学習フレームワーク
研究方法論

advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch

Authors: Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin | Published: 2019-02-20
ポイズニング
敵対的学習
研究方法論

Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks

Authors: Amir Moradibaad, Ramin Jalilian Mashhoud | Published: 2018-12-07 | Updated: 2018-12-13
マルウェア検出
研究方法論
選択手法

Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue

Authors: Zhongyi Hu, Raymond Chiong, Ilung Pranata, Yukun Bao, Yuqing Lin | Published: 2018-10-19
マルウェア検出
性能評価指標
研究方法論

Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection

Authors: Jinoh Kim, Caitlin Sim, Jinhwan Choi | Published: 2018-10-03
データ生成
ログの異常検知
研究方法論

DeepImageSpam: Deep Learning based Image Spam Detection

Authors: Amara Dinesh Kumar, Vinayakumar R, Soman KP | Published: 2018-10-03
スパム分類モデル
敵対的サンプルの検知
研究方法論

Yedrouj-Net: An efficient CNN for spatial steganalysis

Authors: Mehdi Yedroudj, Frederic Comby, Marc Chaumont | Published: 2018-02-26
プライバシー設計原則
機械学習技術
研究方法論