Takami Sato
University of California, Irvine
H-index: 7
North America-United States
Top articles of Takami Sato
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies
ISOC Network and Distributed System Security Symposium (NDSS)
2024/2
A Cross-Verification Approach with Publicly Available Map for Detecting Off-Road Attacks against Lane Detection Systems
ISOC Symposium on Vehicle Security and Privacy (VehicleSec)
2024/2
On the Vulnerability of Traffic Light Recognition Systems to Laser Illumination Attacks
ISOC Symposium on Vehicle Security and Privacy (VehicleSec)
2024/2
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception
arXiv preprint arXiv:2401.03582
2024/1/7
WIP: An Adaptive High Frequency Removal Attack to Bypass Pulse Fingerprinting in New-Gen LiDARs
2024
Learning representation for anomaly detection of vehicle trajectories
2023/10/1
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models
arXiv preprint arXiv:2308.15692
2023/8/30
Waving the double-edged sword: Building resilient cavs with edge and cloud computing
2023/7/9
Adversarial attacks on adaptive cruise control systems
2023/5/9
Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack
arXiv preprint arXiv:2303.10555
2023/3/19
Does physical adversarial example really matter to autonomous driving? towards system-level effect of adversarial object evasion attack
2023
WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition Systems
2023
WIP: Practical removal attacks on LiDAR-based object detection in autonomous driving
ISOC Symposium on Vehicle Security and Privacy (VehicleSec)
2023/1
Poster: Towards large-scale measurement study on LiDAR spoofing attacks against object detection
2022/11/7
Poster: On the system-level effectiveness of physical object-hiding adversarial attack in autonomous driving
2022/11/7
On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving
2022/9/29
Semi-supervised semantics-guided adversarial training for trajectory prediction
arXiv preprint arXiv:2205.14230
2022/5/27
Sok: On the semantic ai security in autonomous driving
arXiv preprint arXiv:2203.05314
2022/3/10
WIP: On Robustness of Lane Detection Models to Physical-World Adversarial Attacks
2022
Takami Sato
H-Index: 2
Qi Alfred Chen
H-Index: 17
Towards driving-oriented metric for lane detection models
2022
Takami Sato
H-Index: 2
Qi Alfred Chen
H-Index: 17
Co-Authors
