Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
Authors: Devinder Kumar, Ibrahim Ben-Daya, Kanav Vats, Jeffery Feng, Graham Taylor and, Alexander Wong | Published: 2019-04-21
機械学習技術
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples
Authors: Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu | Published: 2018-03-26
Clipping free attacks against artificial neural networks
Authors: Boussad Addad, Jerome Kodjabachian, Christophe Meyer | Published: 2018-03-26 | Updated: 2018-03-28
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks
Authors: Tegjyot Singh Sethi, Mehmed Kantardzic, Joung Woo Ryu | Published: 2018-03-24
Explaining Black-box Android Malware Detection
Authors: Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli | Published: 2018-03-09 | Updated: 2018-10-29
Stochastic Activation Pruning for Robust Adversarial Defense
Authors: Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Anima Anandkumar | Published: 2018-03-05
Label Sanitization against Label Flipping Poisoning Attacks
Authors: Andrea Paudice, Luis Muñoz-González, Emil C. Lupu | Published: 2018-03-02 | Updated: 2018-10-02
Online Feature Ranking for Intrusion Detection Systems
Authors: Buse Gul Atli, Alexander Jung | Published: 2018-03-01 | Updated: 2018-06-15
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain
Authors: A. Besir Kurtulmus, Kenny Daniel | Published: 2018-02-27
Generalized Byzantine-tolerant SGD
Authors: Cong Xie, Oluwasanmi Koyejo, Indranil Gupta | Published: 2018-02-27 | Updated: 2018-03-23