敵対的学習

Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks

Authors: Francesco Croce, Jonas Rauber, Matthias Hein | Published: 2019-03-27 | Updated: 2019-09-25
トリガーの検知
敵対的学習
敵対的攻撃検出

The LogBarrier adversarial attack: making effective use of decision boundary information

Authors: Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman | Published: 2019-03-25
モデルの頑健性保証
効果的な摂動手法
敵対的学習

Robust Neural Networks using Randomized Adversarial Training

Authors: Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne | Published: 2019-03-25 | Updated: 2020-02-13
モデルの頑健性保証
敵対的学習
敵対的攻撃検出

Improving Adversarial Robustness via Guided Complement Entropy

Authors: Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan | Published: 2019-03-23 | Updated: 2019-08-07
ロバスト最適化
敵対的学習
敵対的攻撃検出

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Authors: Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller | Published: 2019-03-17 | Updated: 2019-04-26
敵対的サンプル
敵対的学習
敵対的攻撃検出

Attribution-driven Causal Analysis for Detection of Adversarial Examples

Authors: Susmit Jha, Sunny Raj, Steven Lawrence Fernandes, Sumit Kumar Jha, Somesh Jha, Gunjan Verma, Brian Jalaian, Ananthram Swami | Published: 2019-03-14
モデルの頑健性保証
敵対的学習
敵対的攻撃手法

Adversarial Out-domain Examples for Generative Models

Authors: Dario Pasquini, Marco Mingione, Massimo Bernaschi | Published: 2019-03-07 | Updated: 2019-05-13
Out-of-Distribution検出
敵対的学習
敵対的訓練

GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier

Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah | Published: 2019-03-06
モデルの頑健性保証
敵対的学習
敵対的訓練

Complement Objective Training

Authors: Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan | Published: 2019-03-04 | Updated: 2019-03-21
マルチクラス分類
堅牢性向上手法
敵対的学習

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications

Authors: Bryse Flowers, R. Michael Buehrer, William C. Headley | Published: 2019-03-01
敵対的学習
敵対的摂動手法
無線チャネル検出