文献データベース

Backdoor Attacks on Federated Meta-Learning

Authors: Chien-Lun Chen, Leana Golubchik, Marco Paolieri | Published: 2020-06-12 | Updated: 2020-12-16
バックドア攻撃
ポイズニング
連合学習

Provably Robust Metric Learning

Authors: Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh | Published: 2020-06-12 | Updated: 2020-12-19
アルゴリズム
敵対的攻撃検出
最適化手法

Robustness to Adversarial Attacks in Learning-Enabled Controllers

Authors: Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan | Published: 2020-06-11
安全性特性
攻撃タイプ
敵対的攻撃検出

Backdoors in Neural Models of Source Code

Authors: Goutham Ramakrishnan, Aws Albarghouthi | Published: 2020-06-11
バックドア攻撃
プログラム解析
ポイズニング

On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples

Authors: Richard Y. Zhang | Published: 2020-06-11 | Updated: 2020-10-26
アルゴリズム
安全性特性
機械学習の基礎

Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks

Authors: Kathrin Grosse, Taesung Lee, Battista Biggio, Youngja Park, Michael Backes, Ian Molloy | Published: 2020-06-11 | Updated: 2021-11-02
バックドア攻撃
パフォーマンス評価
攻撃シナリオ分析

Smoothed Geometry for Robust Attribution

Authors: Zifan Wang, Haofan Wang, Shakul Ramkumar, Matt Fredrikson, Piotr Mardziel, Anupam Datta | Published: 2020-06-11 | Updated: 2020-10-22
攻撃タイプ
特徴重要度分析
解釈手法

Interpolation between Residual and Non-Residual Networks

Authors: Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi | Published: 2020-06-10 | Updated: 2020-08-16
アルゴリズム
パフォーマンス評価
学習の改善

Low Distortion Block-Resampling with Spatially Stochastic Networks

Authors: Sarah Jane Hong, Martin Arjovsky, Darryl Barnhart, Ian Thompson | Published: 2020-06-09 | Updated: 2020-12-10
アルゴリズム
学習の改善
生成モデルの課題

On the Effectiveness of Regularization Against Membership Inference Attacks

Authors: Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras | Published: 2020-06-09
プライバシー評価
学習の改善
防御効果分析