ポイズニング

Comment on “Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network”

Authors: Roland S. Zimmermann | Published: 2019-07-01
ポイズニング
敵対的攻撃
深層学習手法

Improving Black-box Adversarial Attacks with a Transfer-based Prior

Authors: Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu | Published: 2019-06-17 | Updated: 2020-07-26
ポイズニング
敵対的摂動手法
最適化問題

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Authors: Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck | Published: 2019-06-09 | Updated: 2020-01-10
ポイズニング
敵対的学習
防御手法

Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness

Authors: Walt Woods, Jack Chen, Christof Teuscher | Published: 2019-06-07 | Updated: 2019-08-06
ポイズニング
敵対的サンプル
敵対的訓練

Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings

Authors: Pantelis Elinas, Edwin V. Bonilla, Louis Tiao | Published: 2019-06-05 | Updated: 2020-10-21
データ抽出と分析
ポイズニング
深層学習技術

Unlabeled Data Improves Adversarial Robustness

Authors: Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, Percy Liang, John C. Duchi | Published: 2019-05-31 | Updated: 2022-01-13
ポイズニング
堅牢性検証手法
深層学習手法

Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness

Authors: Andrey Malinin, Mark Gales | Published: 2019-05-31 | Updated: 2019-12-02
ポイズニング
不確実性推定
生成モデル

Bandlimiting Neural Networks Against Adversarial Attacks

Authors: Yuping Lin, Kasra Ahmadi K. A., Hui Jiang | Published: 2019-05-30
ポイズニング
敵対的サンプルの脆弱性
深層学習

An Investigation of Data Poisoning Defenses for Online Learning

Authors: Yizhen Wang, Somesh Jha, Kamalika Chaudhuri | Published: 2019-05-28 | Updated: 2020-02-19
バックドア攻撃
ポイズニング
攻撃の分類

Certifiably Robust Interpretation in Deep Learning

Authors: Alexander Levine, Sahil Singla, Soheil Feizi | Published: 2019-05-28 | Updated: 2019-10-17
XAI(説明可能なAI)
ポイズニング
モデル評価