Video material archive system for efficient video editing based on media identification. - Eiji Kasutani; Ryoma Oami; Akio Yamada; Takami Sato; Kyoji Hirata (ICME, 2004)

Visual duplicate based topic linking using a robust video signature. - Kota Iwamoto; Takami Sato; Ryoma Oami; Toshiyuki Nomura (ICCE, 2013)

Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. - Takami Sato; Junjie Shen 001; Ningfei Wang; Yunhan Jack Jia; Xue Lin 001; Qi Alfred Chen (CoRR, 2020)

Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. - Takami Sato; Junjie Shen 001; Ningfei Wang; Yunhan Jack Jia; Xue Lin 001; Qi Alfred Chen (CoRR, 2020)

End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. - Ruochen Jiao; Hengyi Liang; Takami Sato; Junjie Shen 001; Qi Alfred Chen; Qi Zhu 002 (IV, 2021)

Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack. - Christopher DiPalma; Ningfei Wang; Takami Sato; Qi Alfred Chen (SP (Workshops), 2021)

Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. - Takami Sato; Junjie Shen 001; Ningfei Wang; Yunhan Jack Jia; Xue Lin 001; Qi Alfred Chen (SP (Workshops), 2021)

Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. - Takami Sato; Junjie Shen 001; Ningfei Wang; Yunhan Jia; Xue Lin 001; Qi Alfred Chen (USENIX Security Symposium, 2021)

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving. - Takami Sato; Qi Alfred Chen (CoRR, 2021)

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 (CCS, 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 (CCS, 2022)

Towards Driving-Oriented Metric for Lane Detection Models. - Takami Sato; Qi Alfred Chen (CVPR, 2022)

SoK: On the Semantic AI Security in Autonomous Driving. - Junjie Shen 001; Ningfei Wang; Ziwen Wan; Yunpeng Luo; Takami Sato; Zhisheng Hu; Xinyang Zhang 001; Shengjian Guo; Zhenyu Zhong; Kang Li 001; Ziming Zhao 001; Chunming Qiao; et al. (CoRR, 2022)

Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction. - Ruochen Jiao; Xiangguo Liu; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (CoRR, 2022)

Adversarial Attacks on Adaptive Cruise Control Systems. - Yanan Guo 002; Takami Sato; Yulong Cao; Qi Alfred Chen; Yueqiang Cheng (CPS-IoT Week Workshops, 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 001; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (DAC, 2023)

Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction. - Ruochen Jiao; Xiangguo Liu; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (ICCV, 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 (ICCV, 2023)

Learning Representation for Anomaly Detection of Vehicle Trajectories. - Ruochen Jiao; Juyang Bai; Xiangguo Liu; Takami Sato; Xiaowei Yuan; Qi Alfred Chen; Qi Zhu 002 (IROS, 2023)

WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition Systems. - Takami Sato; Sri Hrushikesh Varma Bhupathiraju; Michael Clifford; Takeshi Sugawara 001; Qi Alfred Chen; Sara Rampazzi (VehicleSec, 2023)

WIP: Practical Removal Attacks on LiDAR-based Object Detection in Autonomous Driving. - Takami Sato; Yuki Hayakawa; Ryo Suzuki; Yohsuke Shiiki; Kentaro Yoshioka; Qi Alfred Chen (VehicleSec, 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)

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)

Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models. - Takami Sato; Justin Yue; Nanze Chen; Ningfei Wang; Qi Alfred Chen (CVPR, 2024)

Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception. - Takami Sato; Sri Hrushikesh Varma Bhupathiraju; Michael Clifford; Takeshi Sugawara 001; Qi Alfred Chen; Sara Rampazzi (NDSS, 2024)

LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies. - Takami Sato; Yuki Hayakawa; Ryo Suzuki; Yohsuke Shiiki; Kentaro Yoshioka; Qi Alfred Chen (NDSS, 2024)

Exploring Backdoor Attacks against Large Language Model-based Decision Making. - Ruochen Jiao; Shaoyuan Xie; Justin Yue; Takami Sato; Lixu Wang; Yixuan Wang 001; Qi Alfred Chen; Qi Zhu 002 (CoRR, 2024)

Exploring Novel Security Vulnerabilities and Their Safety Implications in Sensors and Perception for Autonomous Systems - Takami Sato (2024)

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems. - Ruochen Jiao; Shaoyuan Xie; Justin Yue; Takami Sato; Lixu Wang; Yixuan Wang 001; Qi Alfred Chen; Qi Zhu 002 (ICLR, 2025)

On the Realism of LiDAR Spoofing Attacks against Autonomous Driving Vehicle at High Speed and Long Distance. - Takami Sato; Ryo Suzuki; Yuki Hayakawa; Kazuma Ikeda; Ozora Sako; Rokuto Nagata; Ryo Yoshida; Qi Alfred Chen; Kentaro Yoshioka (NDSS, 2025)

Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective. - Ningfei Wang; Shaoyuan Xie; Takami Sato; Yunpeng Luo; Kaidi Xu; Qi Alfred Chen (NDSS, 2025)

SLAMSpoof: Practical LiDAR Spoofing Attacks on Localization Systems Guided by Scan Matching Vulnerability Analysis. - Rokuto Nagata; Kenji Koide; Yuki Hayakawa; Ryo Suzuki; Kazuma Ikeda; Ozora Sako; Qi Alfred Chen; Takami Sato; Kentaro Yoshioka (CoRR, 2025)

Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification. - Ryota Ueda; Takami Sato; Ken Kobayashi; Kazuhide Nakata (CoRR, 2025)