文献データベース

Android Botnet Detection using Convolutional Neural Networks

Authors: Sina Hojjatinia, Sajad Hamzenejadi, Hadis Mohseni | Published: 2019-11-27
ボットネット検出
モデル性能評価
機械学習の応用

Survey of Attacks and Defenses on Edge-Deployed Neural Networks

Authors: Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy | Published: 2019-11-27
プライバシー保護データマイニング
攻撃タイプ
脆弱性分析

An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense

Authors: Chao Tang, Yifei Fan, Anthony Yezzi | Published: 2019-11-26
ポイズニング
敵対的サンプル
研究方法論

Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

Authors: Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong | Published: 2019-11-26 | Updated: 2021-11-21
ポイズニング
モデル性能評価
攻撃タイプ

Defending Against Adversarial Machine Learning

Authors: Alison Jenkins | Published: 2019-11-26
モデル性能評価
特徴選択手法
統計的分析

Assessing Supply Chain Cyber Risks

Authors: Alberto Redondo, Alberto Torres-Barrán, David Ríos Insua, Jordi Domingo | Published: 2019-11-26
リスク管理
情報セキュリティ
攻撃タイプ

Network Intrusion Detection based on LSTM and Feature Embedding

Authors: Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi | Published: 2019-11-26
攻撃タイプ
機械学習の応用
深層学習に基づくIDS

Privacy preserving Neural Network Inference on Encrypted Data with GPUs

Authors: Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio | Published: 2019-11-26
モデル設計
機械学習の応用
画像特徴抽出

Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data

Authors: Ehsan Aghaei, Gursel Serpen | Published: 2019-11-25
モデル性能評価
深層学習に基づくIDS
研究方法論

Playing it Safe: Adversarial Robustness with an Abstain Option

Authors: Cassidy Laidlaw, Soheil Feizi | Published: 2019-11-25
対抗的学習
敵対的サンプル
敵対的攻撃手法