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08/30/2023
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models
Denoising probabilistic diffusion models have shown breakthrough perform...
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08/23/2023
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack
In autonomous driving (AD), accurate perception is indispensable to achi...
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07/26/2023
Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection
Localization in high-level Autonomous Driving (AD) systems is highly sec...
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03/19/2023
Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack
LiDAR (Light Detection And Ranging) is an indispensable sensor for preci...
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03/09/2023
Learning Representation for Anomaly Detection of Vehicle Trajectories
Predicting the future trajectories of surrounding vehicles based on thei...
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05/27/2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction
Predicting the trajectories of surrounding objects is a critical task in...
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03/31/2022
Towards Driving-Oriented Metric for Lane Detection Models
After the 2017 TuSimple Lane Detection Challenge, its dataset and evalua...
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01/13/2022
On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
Trajectory prediction is a critical component for autonomous vehicles (A...
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01/12/2022
Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks
In high-level Autonomous Driving (AD) systems, behavioral planning is in...
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12/17/2021
scenoRITA: Generating Less-Redundant, Safety-Critical and Motion Sickness-Inducing Scenarios for Autonomous Vehicles
There is tremendous global enthusiasm for research, development, and dep...
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09/13/2021
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
A critical aspect of autonomous vehicles (AVs) is the object detection s...
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07/06/2021
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving
After the 2017 TuSimple Lane Detection Challenge, its evaluation based o...
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06/17/2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
In Autonomous Driving (AD) systems, perception is both security and safe...
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02/27/2021
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering
In the development of advanced driver-assistance systems (ADAS) and auto...
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11/24/2020
On the Adversarial Robustness of 3D Point Cloud Classification
3D point clouds play pivotal roles in various safety-critical fields, su...
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09/14/2020
Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack
Automated Lane Centering (ALC) systems are convenient and widely deploye...
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06/30/2020
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures
Perception plays a pivotal role in autonomous driving systems, which uti...
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06/18/2020
Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing (Extended Version)
For high-level Autonomous Vehicles (AV), localization is highly security...
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06/02/2020
Threat Detection and Investigation with System-level Provenance Graphs: A Survey
With the development of information technology, the border of the cybers...
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03/03/2020
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack
Lane-Keeping Assistance System (LKAS) is convenient and widely available...
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07/16/2019
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
In Autonomous Vehicles (AVs), one fundamental pillar is perception, whic...
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05/27/2019
