Adversarial sensor attack on lidar-based perception in autonomous driving
… camera-based perception, in this work we perform the first security study of LiDAR-based
perception … We consider LiDAR spoofing attacks as the threat model and set the attack goal as …
perception … We consider LiDAR spoofing attacks as the threat model and set the attack goal as …
Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks
… For camera-based AD perception, previous works … its effectiveness for fooling camera-based
AD perception models. One … we identify adversarial 3D object as the physical-world attack …
AD perception models. One … we identify adversarial 3D object as the physical-world attack …
Deep learning-based autonomous driving systems: A survey of attacks and defenses
… in autonomous vehicles to fulfill different perception tasks as … autonomous vehicles to defend
against adversarial attacks as … could be realized through the fusion of camera-based and …
against adversarial attacks as … could be realized through the fusion of camera-based and …
Physical adversarial attacks for camera-based smart systems: Current trends, categorization, applications, research challenges, and future outlook
… in safety-critical applications where the stakes are incredibly high. Imagine an autonomous
vehicle … it a universal attack, by leveraging the inherent perceptual and attentional biases of …
vehicle … it a universal attack, by leveraging the inherent perceptual and attentional biases of …
Attacking vision-based perception in end-to-end autonomous driving models
… the influence of a physical adversary that successfully subverts RGB camera-based e2e …
4(a), we define different safety regions of the road in ascending order of risk. We start with …
4(a), we define different safety regions of the road in ascending order of risk. We start with …
How Many Cameras Do You Need? Adversarial Attacks and Countermeasures for Robust Perception in Autonomous Vehicles
TA Ngo, RJ Chia, J Chan, N Chattopadhyay… - … Conference on Security …, 2022 - Springer
… by both LiDAR-based detector and camera-based detector. Another work from … adversarial
object that can deceive LiDAR-based and camera-based perception models, causing vehicle …
object that can deceive LiDAR-based and camera-based perception models, causing vehicle …
Adversarial computer vision via acoustic manipulation of camera sensors
… Abstract—Autonomous vehicles increasingly rely on camerabased computer vision systems
to perceive environments and make critical driving … To validate PG attacks, we examine the …
to perceive environments and make critical driving … To validate PG attacks, we examine the …
Robust roadside physical adversarial attack against deep learning in lidar perception modules
… For the camera-based perception based on popular deep … ], many sensor-level attacks
leverage this vulnerability benefiting … autonomous driving vehicles facing our roadside adversarial …
leverage this vulnerability benefiting … autonomous driving vehicles facing our roadside adversarial …
Slowtrack: Increasing the latency of camera-based perception in autonomous driving using adversarial examples
… researchers have extensively explored the integrity of AD perception due to its safety and
se… the first to study availability-based adversarial attacks across the entire camera-based AD …
se… the first to study availability-based adversarial attacks across the entire camera-based AD …
Exploring adversarial robustness of multi-sensor perception systems in self driving
… Such vulnerabilities can lead to catastrophic consequences in safety-critical applications.
In … practical adversarial attack against mulit-sensor detection models in selfdriving to …
In … practical adversarial attack against mulit-sensor detection models in selfdriving to …