Cascading Machine Learning to Attack Bitcoin Anonymity
Authors: Francesco Zola, Maria Eguimendia, Jan Lukas Bruse, Raul Orduna Urrutia | Published: 2019-10-15
機械学習アルゴリズム
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Authors: Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox | Published: 2019-10-15 | Updated: 2019-10-16
Using Lexical Features for Malicious URL Detection — A Machine Learning Approach
Authors: Apoorva Joshi, Levi Lloyd, Paul Westin, Srini Seethapathy | Published: 2019-10-14
Comment on “AndrODet: An adaptive Android obfuscation detector”
Authors: Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri | Published: 2019-10-14 | Updated: 2020-01-18
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications
Authors: Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari | Published: 2019-10-08
Sequence embeddings help to identify fraudulent cases in healthcare insurance
Authors: I. Fursov, A. Zaytsev, R. Khasyanov, M. Spindler, E. Burnaev | Published: 2019-10-07
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces
Authors: Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis A. Kiani, Jesper Tegnér | Published: 2019-10-07 | Updated: 2019-10-08
A Case Study on Using Deep Learning for Network Intrusion Detection
Authors: Gabriel C. Fernandez, Shouhuai Xu | Published: 2019-10-05
PINFER: Privacy-Preserving Inference for Machine Learning
Authors: Marc Joye, Fabien A. P. Petitcolas | Published: 2019-10-04
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Authors: Gautam Raj Mode, Prasad Calyam, Khaza Anuarul Hoque | Published: 2019-10-03 | Updated: 2019-12-13