Adversarial Samples on Android Malware Detection Systems for IoT Systems
Authors: Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani | Published: 2019-02-12
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Applications of Machine Learning in Cryptography: A Survey
Authors: Mohammed M. Alani | Published: 2019-02-11
Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach
Authors: Hisham Alasmary, Aminollah Khormali, Afsah Anwar, Jeman Park, Jinchun Choi, DaeHun Nyang, Aziz Mohaisen | Published: 2019-02-11
Fake News Detection on Social Media using Geometric Deep Learning
Authors: Federico Monti, Fabrizio Frasca, Davide Eynard, Damon Mannion, Michael M. Bronstein | Published: 2019-02-10
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Authors: Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu | Published: 2019-02-10 | Updated: 2019-12-28
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks
Authors: Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy | Published: 2019-02-08 | Updated: 2019-02-11
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis
Authors: Danilo Vasconcellos Vargas, Jiawei Su | Published: 2019-02-08
Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach
Authors: Zhitao Guan, Zefang Lv, Xiaojiang Du, Longfei Wu, Mohsen Guizani | Published: 2019-02-08
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
Authors: Serena E. Ponta, Henrik Plate, Antonino Sabetta, Michele Bezzi, Cédric Dangremont | Published: 2019-02-07 | Updated: 2019-03-19
Optimizing seed inputs in fuzzing with machine learning
Authors: Liang Cheng, Yang Zhang, Yi Zhang, Chen Wu, Zhangtan Li, Yu Fu, Haisheng Li | Published: 2019-02-07