Yulong Cao

Orcid: 0000-0003-3007-2550

According to our database1, Yulong Cao authored at least 24 papers between 2017 and 2024.

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Bibliography

2024
Average effective subcarrier-domain sparse representation approach for target information estimation in CP-OFDM-based passive bistatic radar.
EURASIP J. Adv. Signal Process., December, 2024

WIPI: A New Web Threat for LLM-Driven Web Agents.
CoRR, 2024

2023
FD-CNN: A Frequency-Domain FPGA Acceleration Scheme for CNN-Based Image-Processing Applications.
ACM Trans. Embed. Comput. Syst., November, 2023

A prior knowledge-driven reference signal extraction network towards measured data in DRM-based passive radar.
Digit. Signal Process., July, 2023

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios.
CoRR, 2023

Dolphins: Multimodal Language Model for Driving.
CoRR, 2023

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation.
CoRR, 2023

You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks.
Proceedings of the 32nd USENIX Security Symposium, 2023

Adversarial Attacks on Adaptive Cruise Control Systems.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

Language-Guided Traffic Simulation via Scene-Level Diffusion.
Proceedings of the Conference on Robot Learning, 2023

ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles.
Proceedings of the 31st USENIX Security Symposium, 2022

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Trajectory Prediction against Adversarial Attacks.
Proceedings of the Conference on Robot Learning, 2022

2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
On the Adversarial Robustness of 3D Point Cloud Classification.
CoRR, 2020

Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures.
Proceedings of the 29th USENIX Security Symposium, 2020

AVGuardian: Detecting and Mitigating Publish-Subscribe Overprivilege for Autonomous Vehicle Systems.
Proceedings of the IEEE European Symposium on Security and Privacy, 2020

2019
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems.
CoRR, 2019

Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Brillouin Frequency Shift of Fiber Distributed Sensors Extracted from Noisy Signals by Quadratic Fitting.
Sensors, 2018

2017
Client-side Name Collision Vulnerability in the New gTLD Era: A Systematic Study.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017


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