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LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken
  Assumptions, and New Attack Strategies

LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies

19 March 2023
Takami Sato
Yuki Hayakawa
Ryo Suzuki
Y. Shiiki
Kentaro Yoshioka
Qi Alfred Chen
    AAML
ArXivPDFHTML

Papers citing "LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies"

5 / 5 papers shown
Title
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting
Elad Feldman
Jacob Shams
Dudi Biton
Alfred Chen
Shaoyuan Xie
Satoru Koda
Yisroel Mirsky
A. Shabtai
Yuval Elovici
Ben Nassi
AAML
54
0
0
08 May 2025
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Alexandra Arzberger
Ramin Tavakoli Kolagari
AAML
151
0
0
21 Mar 2025
CATS: A framework for Cooperative Autonomy Trust & Security
Namo Asavisanu
Tina Khezresmaeilzadeh
Rohan Sequeira
Hang Qiu
Fawad Ahmad
Konstantinos Psounis
R. Govindan
46
0
0
01 Mar 2025
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR
  Perception Systems in Autonomous Vehicles
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles
Amira Guesmi
Muhammad Shafique
AAML
33
1
0
30 Sep 2024
PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR
PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR
Zizhi Jin
Qinhong Jiang
Xuancun Lu
Chen Yan
Xiaoyu Ji
Wenyuan Xu
AAML
24
0
0
26 Sep 2024
1