Defending against Whitebox Adversarial Attacks via Randomized Discretization
Authors: Yuchen Zhang, Percy Liang | Published: 2019-03-25
モデルの頑健性保証
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness
Authors: Jörn-Henrik Jacobsen, Jens Behrmannn, Nicholas Carlini, Florian Tramèr, Nicolas Papernot | Published: 2019-03-25
The LogBarrier adversarial attack: making effective use of decision boundary information
Authors: Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman | Published: 2019-03-25
Robust Neural Networks using Randomized Adversarial Training
Authors: Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne | Published: 2019-03-25 | Updated: 2020-02-13
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