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Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward

29 May 2019
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
    AAML
ArXivPDFHTML

Papers citing "Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward"

15 / 15 papers shown
Title
GAN-Based Single-Stage Defense for Traffic Sign Classification Under Adversarial Patch Attack
GAN-Based Single-Stage Defense for Traffic Sign Classification Under Adversarial Patch Attack
Abyad Enan
M. Chowdhury
AAML
51
0
0
16 Mar 2025
Blockchain-based Trust Management in Security Credential Management System for Vehicular Network
Blockchain-based Trust Management in Security Credential Management System for Vehicular Network
SangHyun Byun
Arijet Sarker
Sang-Yoon Chang
Jugal Kalita
57
0
0
24 Feb 2025
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Mohammed Aledhari
Rehma Razzak
Mohamed Rahouti
Abbas Yazdinejad
R. Parizi
Basheer Qolomany
Mohsen Guizani
Junaid Qadir
Ala I. Al-Fuqaha
AAML
140
1
0
06 Feb 2025
Deceptive Sequential Decision-Making via Regularized Policy Optimization
Deceptive Sequential Decision-Making via Regularized Policy Optimization
Yerin Kim
Alexander Benvenuti
Bo Chen
Mustafa O. Karabag
A. Kulkarni
Nathaniel D. Bastian
Ufuk Topcu
Matthew T. Hale
AAML
107
1
0
30 Jan 2025
Can We Revitalize Interventional Healthcare with AI-XR Surgical
  Metaverses?
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?
Adnan Qayyum
Muhammad Bilal
Muhammad Hadi
Paweł Capik
Massimo Caputo
H. Vohra
Ala I. Al-Fuqaha
Junaid Qadir
25
6
0
25 Mar 2023
A Survey on Reinforcement Learning Security with Application to
  Autonomous Driving
A Survey on Reinforcement Learning Security with Application to Autonomous Driving
Ambra Demontis
Maura Pintor
Luca Demetrio
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
29
4
0
12 Dec 2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine
  Learning
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning
Ethan Rathbun
Kaleel Mahmood
Sohaib Ahmad
Caiwen Ding
Marten van Dijk
AAML
8
4
0
26 Nov 2022
Privacy Preserving Machine Learning for Electric Vehicles: A Survey
Privacy Preserving Machine Learning for Electric Vehicles: A Survey
Abdul Rahman Sani
M. Hassan
Jinjun Chen
22
10
0
17 May 2022
SoK: On the Semantic AI Security in Autonomous Driving
SoK: On the Semantic AI Security in Autonomous Driving
Junjie Shen
Ningfei Wang
Ziwen Wan
Yunpeng Luo
Takami Sato
...
Zhenyu Zhong
Kang Li
Ziming Zhao
Chunming Qiao
Qi Alfred Chen
AAML
13
39
0
10 Mar 2022
Explaining RADAR features for detecting spoofing attacks in Connected
  Autonomous Vehicles
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles
Nidhi Rastogi
Sara Rampazzi
Michael Clifford
Miriam Heller
Matthew Bishop
K. Levitt
AAML
11
6
0
01 Mar 2022
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
145
424
0
16 Apr 2018
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in
  Neural Networks
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
D. Gopinath
Guy Katz
C. Păsăreanu
Clark W. Barrett
AAML
42
87
0
02 Oct 2017
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in
  Gaussian Process Hybrid Deep Networks
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDL
AAML
60
171
0
08 Jul 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,832
0
03 Feb 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
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