Takami Sato
Orcid: 0000-0002-4465-5653
According to our database1,
Takami Sato
authored at least 26 papers
between 2004 and 2024.
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Bibliography
2024
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective.
CoRR, 2024
CoRR, 2024
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models.
CoRR, 2023
Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack.
CoRR, 2023
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023
2022
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
Poster: Towards Large-Scale Measurement Study on LiDAR Spoofing Attacks against Object Detection.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
2021
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving.
CoRR, 2021
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
Proceedings of the 30th USENIX Security Symposium, 2021
Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
Proceedings of the IEEE Security and Privacy Workshops, 2021
Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack.
Proceedings of the IEEE Security and Privacy Workshops, 2021
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
2020
Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
CoRR, 2020
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack.
CoRR, 2020
2013
Proceedings of the IEEE International Conference on Consumer Electronics, 2013
2004
Video material archive system for efficient video editing based on media identification.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004