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
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
A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchain
Authors: Tao Wang | Published: 2019-03-21
Contextual Bandits with Random Projection
Authors: Xiaotian Yu | Published: 2019-03-20
On the Robustness of Deep K-Nearest Neighbors
Authors: Chawin Sitawarin, David Wagner | Published: 2019-03-20
An Evaluation of Bitcoin Address Classification based on Transaction History Summarization
Authors: Yu-Jing Lin, Po-Wei Wu, Cheng-Han Hsu, I-Ping Tu, Shih-wei Liao | Published: 2019-03-19