文献データベース

Delving into adversarial attacks on deep policies

Authors: Jernej Kos, Dawn Song | Published: 2017-05-18
モデルの頑健性保証
ロバスト性
防御手法

A lightweight MapReduce framework for secure processing with SGX

Authors: Rafael Pires, Daniel Gavril, Pascal Felber, Emanuel Onica, Marcelo Pasin | Published: 2017-05-16
データ駆動型クラスタリング
パフォーマンス評価
プライバシー保護アルゴリズム

Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent

Authors: Yudong Chen, Lili Su, Jiaming Xu | Published: 2017-05-16 | Updated: 2017-10-23
モデル性能評価
ロバスト性
分散学習

Extending Defensive Distillation

Authors: Nicolas Papernot, Patrick McDaniel | Published: 2017-05-15
ロバスト性
敵対的サンプル
防御手法

Musical Instrument Recognition Using Their Distinctive Characteristics in Artificial Neural Networks

Authors: Babak Toghiani-Rizi, Marcus Windmark | Published: 2017-05-14
データセット評価
特徴抽出手法
音声強化技術

PerfWeb: How to Violate Web Privacy with Hardware Performance Events

Authors: Berk Gulmezoglu, Andreas Zankl, Thomas Eisenbarth, Berk Sunar | Published: 2017-05-12
パフォーマンス評価
モデル性能評価
ユーザー活動解析

Hate is not Binary: Studying Abusive Behavior of #GamerGate on Twitter

Authors: Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali | Published: 2017-05-09
スパムユーザー検出
ユーザー活動解析
感情分析

Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

Authors: Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau | Published: 2017-05-08
モデルの堅牢性
モデルの頑健性保証
防御メカニズム

Attacking Machine Learning models as part of a cyber kill chain

Authors: Tam N. Nguyen | Published: 2017-05-01 | Updated: 2018-04-07
セキュリティ分析
モデル抽出攻撃の検知
攻撃検出

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Authors: Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli | Published: 2017-04-28
ポイズニング
マルウェア検出シナリオ
モデル抽出攻撃