Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Authors: Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz | Published: 2019-06-26 | Updated: 2020-03-03
モデルの頑健性保証
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
Authors: Xiao Zhang, Dongrui Wu | Published: 2019-03-31
Bridging Adversarial Robustness and Gradient Interpretability
Authors: Beomsu Kim, Junghoon Seo, Taegyun Jeon | Published: 2019-03-27 | Updated: 2019-04-19
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
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