モデル評価

Square Attack: a query-efficient black-box adversarial attack via random search

Authors: Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein | Published: 2019-11-29 | Updated: 2020-07-29
モデル評価
敵対的攻撃検出
敵対的訓練

Computer Systems Have 99 Problems, Let’s Not Make Machine Learning Another One

Authors: David Mohaisen, Songqing Chen | Published: 2019-11-28
モデル評価
敵対的サンプル
機械学習アルゴリズム

High Accuracy and High Fidelity Extraction of Neural Networks

Authors: Matthew Jagielski, Nicholas Carlini, David Berthelot, Alex Kurakin, Nicolas Papernot | Published: 2019-09-03 | Updated: 2020-03-03
モデル抽出攻撃
モデル評価
敵対的サンプル

FSGAN: Subject Agnostic Face Swapping and Reenactment

Authors: Yuval Nirkin, Yosi Keller, Tal Hassner | Published: 2019-08-16
データ生成手法
ディープフェイク
モデル評価

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

Differential Privacy Has Disparate Impact on Model Accuracy

Authors: Eugene Bagdasaryan, Vitaly Shmatikov | Published: 2019-05-28 | Updated: 2019-10-27
プライバシー保護
プライバシー保護手法
モデル評価

Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks

Authors: Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin | Published: 2019-05-28
DNN IP保護手法
モデル評価
防御的欺瞞

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Authors: Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu | Published: 2019-05-28
モデル評価
性能評価
敵対的摂動手法

Controlling Neural Level Sets

Authors: Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman | Published: 2019-05-28 | Updated: 2019-10-27
モデル評価
最適化問題
生成モデル

Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics

Authors: Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder | Published: 2019-05-28 | Updated: 2019-11-27
ポイズニング
モデル評価
敵対的学習