A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence

22 September 2021

Papers citing "A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence"

10 / 10 papers shown

Title
Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station M. Basnet Subash Poudyal M. Ali D. Dasgupta 31 42 0 15 Apr 2021
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems Ranwa Al Mallah Godwin Badu-Marfo Bilal Farooq 122 19 0 26 Feb 2021
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles Tengchan Zeng Omid Semiariy Mingzhe Chen Walid Saad M. Bennis FedML 43 85 0 05 Feb 2021
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 234 6,252 0 10 Dec 2019
GIDS: GAN based Intrusion Detection System for In-Vehicle Network Eunbi Seo Hyun Min Song H. Kim 46 325 0 17 Jul 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 127 934 0 01 Feb 2019
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 63 762 0 08 Oct 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 152 2,568 0 02 Jun 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 81 2,602 0 20 May 2018
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification André F. T. Martins Ramón Fernández Astudillo 174 722 0 05 Feb 2016