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
On the Robustness of Deep K-Nearest Neighbors
Authors: Chawin Sitawarin, David Wagner | Published: 2019-03-20
Generating Adversarial Examples With Conditional Generative Adversarial Net
Authors: Ping Yu, Kaitao Song, Jianfeng Lu | Published: 2019-03-18
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks
Authors: Ian Goodfellow | Published: 2019-03-14
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
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Authors: Adith Boloor, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang | Published: 2019-03-12
GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier
Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah | Published: 2019-03-06
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Authors: Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu | Published: 2019-03-05 | Updated: 2019-05-22
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin | Published: 2019-02-28
Tensor Dropout for Robust Learning
Authors: Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Anima Anandkumar, Ioanna Tzoulaki, Paul Matthews | Published: 2019-02-27 | Updated: 2020-12-11