Takami Sato

According to our database, Takami Sato authored at least 22 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception.

Takami Sato, Sri Hrushikesh Varma Bhupathiraju, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, Sara Rampazzi

CoRR, 2024

2023

Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models.

Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen

CoRR, 2023

Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack.

Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen

CoRR, 2023

Learning Representation for Anomaly Detection of Vehicle Trajectories.

Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu

IROS, 2023

Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack.

Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction.

Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu

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.

Xiangguo Liu, Yunpeng Luo, Anthony Goeckner, Trishna Chakraborty, Ruochen Jiao, Ningfei Wang, Yixuan Wang, Takami Sato, Qi Alfred Chen, Qi Zhu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Adversarial Attacks on Adaptive Cruise Control Systems.

Yanan Guo, Takami Sato, Yulong Cao, Qi Alfred Chen, Yueqiang Cheng

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022

Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction.

Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu

CoRR, 2022

SoK: On the Semantic AI Security in Autonomous Driving.

Junjie Shen, Ningfei Wang, Ziwen Wan, Yunpeng Luo, Takami Sato, Zhisheng Hu, Xinyang Zhang, Shengjian Guo, Zhenyu Zhong, Kang Li, Ziming Zhao, Chunming Qiao, Qi Alfred Chen

CoRR, 2022

Towards Driving-Oriented Metric for Lane Detection Models.

Takami Sato, Qi Alfred Chen

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.

Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen

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.

Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen

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.

Takami Sato, Qi Alfred Chen

CoRR, 2021

Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.

Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen

Proceedings of the 30th USENIX Security Symposium, 2021

Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.

Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen

Proceedings of the IEEE Security and Privacy Workshops, 2021

Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack.

Christopher DiPalma, Ningfei Wang, Takami Sato, Qi Alfred Chen

Proceedings of the IEEE Security and Privacy Workshops, 2021

End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering.

Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu

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.

Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen

CoRR, 2020

Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack.

Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen

CoRR, 2020

2013

Visual duplicate based topic linking using a robust video signature.

Kota Iwamoto, Takami Sato, Ryoma Oami, Toshiyuki Nomura

Proceedings of the IEEE International Conference on Consumer Electronics, 2013

2004

Video material archive system for efficient video editing based on media identification.

Eiji Kasutani, Ryoma Oami, Akio Yamada, Takami Sato, Kyoji Hirata

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004