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ML-driven Malware that Targets AV Safety

ML-driven Malware that Targets AV Safety

24 April 2020
Saurabh Jha
Shengkun Cui
Subho Sankar Banerjee
Timothy Tsai
Zbigniew T. Kalbarczyk
R. Iyer
    AAML
ArXivPDFHTML

Papers citing "ML-driven Malware that Targets AV Safety"

5 / 5 papers shown
Title
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
Cheng Chen
Grant Xiao
Daehyun Lee
Lishan Yang
E. Smirni
H. Alemzadeh
Xugui Zhou
AAML
19
0
0
26 Apr 2025
A First Physical-World Trajectory Prediction Attack via LiDAR-induced
  Deceptions in Autonomous Driving
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving
Yang Lou
Yi Zhu
Qun Song
Rui Tan
Chunming Qiao
Wei-Bin Lee
Jianping Wang
AAML
36
2
0
17 Jun 2024
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Xugui Zhou
Anqi Chen
Maxfield Kouzel
Haotian Ren
Morgan McCarty
Cristina Nita-Rotaru
H. Alemzadeh
AAML
26
1
0
18 Jul 2023
Watch Out for the Safety-Threatening Actors: Proactively Mitigating
  Safety Hazards
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards
Saurabh Jha
Shengkun Cui
Zbigniew T. Kalbarczyk
R. Iyer
LLMSV
11
1
0
02 Jun 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
15
39
0
10 Mar 2022
1