Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning
Authors: Zain ul abi Din, Panagiotis Tigas, Samuel T. King, Benjamin Livshits | Published: 2019-05-17 | Updated: 2020-05-20
情報セキュリティ
Machine Learning in Cyber-Security – Problems, Challenges and Data Sets
Authors: Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger | Published: 2018-12-19 | Updated: 2019-04-22
Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments
Authors: Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka | Published: 2018-10-23
The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques
Authors: Tiantian Ji, Yue Wu, Chang Wang, Xi Zhang, Zhongru Wang | Published: 2018-05-28 | Updated: 2018-05-30
Phocas: dimensional Byzantine-resilient stochastic gradient descent
Authors: Cong Xie, Oluwasanmi Koyejo, Indranil Gupta | Published: 2018-05-23
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Authors: Pouya Samangouei, Maya Kabkab, Rama Chellappa | Published: 2018-05-17 | Updated: 2018-05-18
Secure Mobile Edge Computing in IoT via Collaborative Online Learning
Authors: Bingcong Li, Tianyi Chen, Georgios B. Giannakis | Published: 2018-05-09
Detecting Compressed Cleartext Traffic from Consumer Internet of Things Devices
Authors: Daniel Hahn, Noah Apthorpe, Nick Feamster | Published: 2018-05-07
Automatic Classification of Object Code Using Machine Learning
Authors: John Clemens | Published: 2018-05-06
Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection
Authors: TonTon Hsien-De Huang, Chia-Mu Yu, Hung-Yu Kao | Published: 2017-10-15