Takami Sato

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

Ningfei Wang, Junjie Shen, Qi Alfred Chen, 2020, ArXiv.

Visual duplicate based topic linking using a robust video signature

Kota Iwamoto, Takami Sato, Ryoma Oami, 2013, 2013 IEEE International Conference on Consumer Electronics (ICCE).

Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack pdf

Ningfei Wang, Junjie Shen, Qi Alfred Chen, 2020, ArXiv.

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

Takami Sato, Kyoji Hirata, Ryoma Oami, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

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

Ningfei Wang, Junjie Shen, Qi Alfred Chen, 2021, 2021 IEEE Security and Privacy Workshops (SPW).

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving pdf

Qi Alfred Chen, Takami Sato, Takami Sato, 2021, ArXiv.

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

Qi Zhu, Junjie Shen, Qi Alfred Chen, 2021, 2021 IEEE Intelligent Vehicles Symposium (IV).

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

Qi Alfred Chen, Takami Sato, Ningfei Wang, 2021, 2021 IEEE Security and Privacy Workshops (SPW).

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

Junjie Shen, Qi Alfred Chen, Takami Sato, 2020, USENIX Security Symposium.