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
敵対的攻撃検出
A geometry-inspired decision-based attack
Authors: Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard | Published: 2019-03-26
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Authors: Yuchen Zhang, Percy Liang | Published: 2019-03-25
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
Robust Neural Networks using Randomized Adversarial Training
Authors: Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne | Published: 2019-03-25 | Updated: 2020-02-13
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
Authors: Yuzhe Ma, Xiaojin Zhu, Justin Hsu | Published: 2019-03-23 | Updated: 2019-07-05
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
On the Robustness of Deep K-Nearest Neighbors
Authors: Chawin Sitawarin, David Wagner | Published: 2019-03-20
Clonability of anti-counterfeiting printable graphical codes: a machine learning approach
Authors: Olga Taran, Slavi Bonev, Slava Voloshynovskiy | Published: 2019-03-18
Generating Adversarial Examples With Conditional Generative Adversarial Net
Authors: Ping Yu, Kaitao Song, Jianfeng Lu | Published: 2019-03-18