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ORCIDTakami Sato
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2020 – today
- 2024
[c17]Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen:
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models. CVPR 2024: 24635-24644- [c16]Takami Sato, Sri Hrushikesh Varma Bhupathiraju, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, Sara Rampazzi:
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception. NDSS 2024 - [c15]Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen:
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies. NDSS 2024 - [i14]Takami Sato, Sri Hrushikesh Varma Bhupathiraju, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, Sara Rampazzi:
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception. CoRR abs/2401.03582 (2024) - [i13]Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu:
Exploring Backdoor Attacks against Large Language Model-based Decision Making. CoRR abs/2405.20774 (2024) - [i12]Ningfei Wang, Shaoyuan Xie, Takami Sato, Yunpeng Luo, Kaidi Xu, Qi Alfred Chen:
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective. CoRR abs/2409.09860 (2024) - 2023
- [c14]Yanan Guo
, Takami Sato, Yulong Cao, Qi Alfred Chen, Yueqiang Cheng:
Adversarial Attacks on Adaptive Cruise Control Systems. CPS-IoT Week Workshops 2023: 49-54 - [c13]Xiangguo Liu, Yunpeng Luo, Anthony Goeckner, Trishna Chakraborty, Ruochen Jiao, Ningfei Wang, Yixuan Wang, Takami Sato, Qi Alfred Chen, Qi Zhu:
Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing. DAC 2023: 1-4 - [c12]Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen:
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack. ICCV 2023: 4389-4400 - [c11]Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu:
Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction. ICCV 2023: 8173-8183 - [c10]Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu:
Learning Representation for Anomaly Detection of Vehicle Trajectories. IROS 2023: 9699-9706 - [i11]Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu:
Learning Representation for Anomaly Detection of Vehicle Trajectories. CoRR abs/2303.05000 (2023) - [i10]Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen:
Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack. CoRR abs/2303.10555 (2023) - [i9]Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen:
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack. CoRR abs/2308.11894 (2023) - [i8]Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen:
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models. CoRR abs/2308.15692 (2023) - 2022
- [c9]Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen:
Poster: Towards Large-Scale Measurement Study on LiDAR Spoofing Attacks against Object Detection. CCS 2022: 3459-3461 - [c8]Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen:
Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving. CCS 2022: 3479-3481 - [c7]Takami Sato, Qi Alfred Chen:
Towards Driving-Oriented Metric for Lane Detection Models. CVPR 2022: 17132-17141 - [i7]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:
SoK: On the Semantic AI Security in Autonomous Driving. CoRR abs/2203.05314 (2022) - [i6]Takami Sato, Qi Alfred Chen:
Towards Driving-Oriented Metric for Lane Detection Models. CoRR abs/2203.16851 (2022) - [i5]Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu:
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction. CoRR abs/2205.14230 (2022) - 2021
- [c6]Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu:
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. IV 2021: 266-273 - [c5]Christopher DiPalma, Ningfei Wang, Takami Sato, Qi Alfred Chen:
Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack. SP (Workshops) 2021: 243 - [c4]Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. SP (Workshops) 2021: 244 - [c3]Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen:
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. USENIX Security Symposium 2021: 3309-3326 - [i4]Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu:
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. CoRR abs/2103.00345 (2021) - [i3]Takami Sato, Qi Alfred Chen:
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving. CoRR abs/2107.02488 (2021) - 2020
- [i2]Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. CoRR abs/2003.01782 (2020) - [i1]Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. CoRR abs/2009.06701 (2020)
2010 – 2019
- 2013
- [c2]Kota Iwamoto, Takami Sato, Ryoma Oami, Toshiyuki Nomura:
Visual duplicate based topic linking using a robust video signature. ICCE 2013: 280-283
2000 – 2009
- 2004
- [c1]Eiji Kasutani, Ryoma Oami, Akio Yamada, Takami Sato, Kyoji Hirata:
Video material archive system for efficient video editing based on media identification. ICME 2004: 727-730
Coauthor Index
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last updated on 2024-10-15 00:25 CEST by the dblp team
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