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Adversarial Attacks Against Deep Reinforcement Learning Framework in
  Internet of Vehicles

Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles

2 August 2021
Anum Talpur
G. Mohan
    AAML
ArXivPDFHTML

Papers citing "Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles"

4 / 4 papers shown
Title
Data-Agnostic Model Poisoning against Federated Learning: A Graph
  Autoencoder Approach
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach
Kai Li
Jingjing Zheng
Xinnan Yuan
W. Ni
Ozgur B. Akan
H. Vincent Poor
AAML
27
15
0
30 Nov 2023
GFCL: A GRU-based Federated Continual Learning Framework against Data
  Poisoning Attacks in IoV
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV
Anum Talpur
M. Gurusamy
AAML
20
0
0
23 Apr 2022
A Survey on Machine Learning-based Misbehavior Detection Systems for 5G
  and Beyond Vehicular Networks
A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks
Abdelwahab Boualouache
T. Engel
25
75
0
25 Jan 2022
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
171
1,631
0
02 Feb 2020
1