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Cybersecurity Threats in Connected and Automated Vehicles based
  Federated Learning Systems

Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems

26 February 2021
Ranwa Al Mallah
Godwin Badu-Marfo
Bilal Farooq
ArXivPDFHTML

Papers citing "Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems"

4 / 4 papers shown
Title
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
38
75
0
21 Aug 2023
CECILIA: Comprehensive Secure Machine Learning Framework
CECILIA: Comprehensive Secure Machine Learning Framework
Ali Burak Ünal
Nícolas Pfeifer
Mete Akgun
25
2
0
07 Feb 2022
A Deep Learning Perspective on Connected Automated Vehicle (CAV)
  Cybersecurity and Threat Intelligence
A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence
M. Basnet
Mohd. Hasan Ali
24
7
0
22 Sep 2021
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,032
0
29 Nov 2018
1