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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"

23 / 23 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
58
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
158
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
115
1
0
30 Jan 2025
Privacy Preservation in Artificial Intelligence and Extended Reality
  (AI-XR) Metaverses: A Survey
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey
Mahdi Alkaeed
Adnan Qayyum
Junaid Qadir
31
16
0
19 Sep 2023
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
34
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
Christian Scano
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
44
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
24
4
0
26 Nov 2022
Potential Auto-driving Threat: Universal Rain-removal Attack
Potential Auto-driving Threat: Universal Rain-removal Attack
Jincheng Hu
Jihao Li
Zhuoran Hou
Jingjing Jiang
Cunjia Liu
Yuanjian Zhang
AAML
24
4
0
18 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
30
32
0
24 Oct 2022
Statistical Detection of Adversarial examples in Blockchain-based
  Federated Forest In-vehicle Network Intrusion Detection Systems
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems
I. Aliyu
Sélinde Van Engelenburg
Muhammed Muazu
Jinsul Kim
C. Lim
AAML
41
14
0
11 Jul 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
36
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
23
40
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
19
6
0
01 Mar 2022
Roadmap for Cybersecurity in Autonomous Vehicles
Roadmap for Cybersecurity in Autonomous Vehicles
Vipin Kumar Kukkala
S. V. Thiruloga
S. Pasricha
43
29
0
19 Jan 2022
DriveGuard: Robustification of Automated Driving Systems with Deep
  Spatio-Temporal Convolutional Autoencoder
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder
A. Papachristodoulou
C. Kyrkou
T. Theocharides
33
2
0
05 Nov 2021
Exploiting epistemic uncertainty of the deep learning models to generate
  adversarial samples
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
Ömer Faruk Tuna
Ferhat Ozgur Catak
M. T. Eskil
AAML
19
32
0
08 Feb 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
27
142
0
14 Dec 2020
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
165
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
50
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
72
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
249
1,842
0
03 Feb 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,847
0
08 Jul 2016
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