文献データベース

Logit Pairing Methods Can Fool Gradient-Based Attacks

Authors: Marius Mosbach, Maksym Andriushchenko, Thomas Trost, Matthias Hein, Dietrich Klakow | Published: 2018-10-29 | Updated: 2019-03-12
ロバスト性の要件
敵対的学習
敵対的訓練

Rademacher Complexity for Adversarially Robust Generalization

Authors: Dong Yin, Kannan Ramchandran, Peter Bartlett | Published: 2018-10-29 | Updated: 2020-07-29
モデルの頑健性保証
ロバスト性の要件
敵対的訓練

Learning with Bad Training Data via Iterative Trimmed Loss Minimization

Authors: Yanyao Shen, Sujay Sanghavi | Published: 2018-10-28 | Updated: 2019-02-18
データキュレーション
ポイズニング
ロバスト推定

Robust Audio Adversarial Example for a Physical Attack

Authors: Hiromu Yakura, Jun Sakuma | Published: 2018-10-28 | Updated: 2019-08-19
バックドア攻撃
信号処理手法
敵対的サンプル

RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications

Authors: Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh | Published: 2018-10-28 | Updated: 2019-02-27
トリガーの検知
数理的解析
敵対的学習

Towards Robust Deep Neural Networks

Authors: Timothy E. Wang, Yiming Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal | Published: 2018-10-27 | Updated: 2018-12-04
モデルの頑健性保証
ロバスト推定
損失関数

Evading classifiers in discrete domains with provable optimality guarantees

Authors: Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso | Published: 2018-10-25 | Updated: 2019-07-01
モデルの頑健性保証
性能評価
敵対的学習

Law and Adversarial Machine Learning

Authors: Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salome Vilojen | Published: 2018-10-25 | Updated: 2018-12-05
デジタルフォレンジック
敵対的サンプルの検知
法的責任

Robust Adversarial Learning via Sparsifying Front Ends

Authors: Soorya Gopalakrishnan, Zhinus Marzi, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-10-24 | Updated: 2021-05-25
モデルの頑健性保証
ロバスト推定
敵対的移転性

Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments

Authors: Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka | Published: 2018-10-23
マルチクラス分類
情報セキュリティ
攻撃検出