Takami SATO

Ph.D. candidate in Donald Bren School of Information and Computer Sciences @ University of California, Irvine, under the supervision of Qi Alfred Chen
Kaggle Grandmaster

Research interests: System Security, Machine Learning Security, Optimization

mail, github, Linkedin, Twitter, Kaggle, SlideShare, Resume

Google Scholar

Selected Publications

• [CVPR'24] Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, and Qi Alfred Chen, Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models [preprint]
• [NDSS'24] Takami Sato*, Yuki Hayakawa*, Ryo Suzuki*, Yohsuke Shiiki*, Kentaro Yoshioka, and Qi Alfred Chen, Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack (Acceptance Rate: 20.2%) (* denotes co-first) [preprint]
• [NDSS'24] Takami Sato*, Sri Hrushikesh Varma Bhupathiraju*, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, Sara Rampazzi, and Qi Alfred Chen, Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception (Acceptance Rate: 20.2%) (* denotes co-first)
• [CVPR'22] Takami Sato and Qi Alfred Chen, Towards Driving-Oriented Metric for Lane Detection Models (Acceptance Rate: 25.3%) [paper] [site]
• [Usenix Security'21] Takami Sato*, Junjie Shen*, Ningfei Wang, Yunhan Jack Jia, Xue Lin, and Qi Alfred Chen, Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack (Acceptance Rate: 18.7%) (* denotes co-first authors) [paper] [demo]
  
• [ICCV'23]Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, and Qi Alfred Chen, System-Driven Adversarial Object Evasion Attack in Autonomous Driving (Acceptance Rate: 26.2%)
• [ICCV'23]Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, and Qi Zhu, Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction (Acceptance Rate: 26.2%)
• [IROS'23] Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, and Qi Zhu, Learning Representation for Anomaly Detection of Vehicle Trajectories
• [IV'21] Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, and Qi Zhu, End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering [paper]

Preprints

• Takami Sato and Qi Alfred Chen, On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving, arXiv preprint arXiv:2107.02488, 2021.
• 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 arXiv:2203.05314, 2022.

Poster

• [CCS'22] Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen, Towards Large-Scale Measurement Study on LiDAR Spoofing Attacks against Object Detection,
• [NDSS'22] Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen, Security of Deep Learning based Lane Keeping Assistance System under Physical-World Adversarial Attack [abstract][demo] Best Technical Poster Award

Paper Review and Program Committee Experiences

• Program committee of IEEE European Symposium on Security and Privacy (EuroS&P) 2024
• Program committee of CPSIoTSec 2023
• Program committee of IEEE Mobility, Sensing and Networking (MSN) 2023
• Reviewer in International Conference on Computer Vision (ICCV) 2023
• Reviewer in European Conference on Computer Vision (ECCV) 2022, 2023
• Reviewer in IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022, 2023
• More than 50 papers review experience as a delegation reviewer (IEEE S&P, Usenix Security, ACM CCS, NDSS, AsiaCCS, INFOCOM, ACSAC, TDSC, ICCPS, BMVC, SPML)

Slides

• Overview of tree algorithms from decision tree to xgboost
• High performance python computing for data science
• Tutorials of Mathematical Optimization [JAPANESE]

Awards and Honors

• $5,000 Awards, Graduate Dean’s Dissertation Fellowship, UCI Graduate Division
• $1,000 Awards, Public Impact Fellowship, UCI Graduate Division
• 1st place (RTX A6000 + HP Laptop), Kaggle Days x Z by HP World Championship Final in Barcelona, Spain
• 2nd place ($7.5k prize), Kaggle, Foursquare Location Matching (Top 2/1079)
• 2nd place, Kaggle days x Z by HP world championship at San Francisco (Top 2/82)
• 2nd place ($8k prize), Kaggle, PetFinder.my - Pawpularity Contest, 2022
• Earned the Kaggle Grandmaster title (Only 240+ Kaggle Grandmasters in the world), 2021
• 2nd place ($1k prize), Kaggle, chaii - Hindi and Tamil Question Answering, 2021
• $3,000 award, The Beall Family Foundation Graduate Student Entrepreneur Award in Computer Science, 2021
• $10,000 prize (2th place), Shopee - Price Match Guarantee (Top 2/2462), 2021
• 1st place (Champion), Baidu AutoDriving CTF (Top 1/24), 2020
• Gold Medal (5th place), Kaggle Tweet Sentiment Extraction (Top 5/2227), 2020
• Silver Medal (23rd place, solo), Kaggle Santa's Workshop Tour 2019 (Top 23/1620 and optimal solution obtained), 2019
• Gold Medal (11th place, solo), TalkingData AdTracking Fraud Detection Challenge (Top 11/3946), 2018
• Earned the Kaggle Master title (Top 1% Kaggle competitors worldwide), 2017
• Gold Medal (15th place, solo), Kaggle Instacart Market Basket Analysis (Top 15/2622), 2017
• Silver Medal (17th place ,solo), Kaggle Quora Question Pairs (Top 17/3304), 2017
• Silver Medal (17th place), Kaggle Bosch Production Line Performance (Top 17/1370), 2016
• Repayment Exemption of Student Loan (about $25,000) for Students with Excellent Grades - Japan Student Services Organization, 2013

Industry Experience

• June 2023 - Sep. 2023: Ph.D. Research Software Engineer, Uber Technologies, Inc
• June 2022 - Sep. 2022: Internship Security Researcher, Toyota Info TechLab
• Mar. 2021 - Sep. 2021: Internship Security Researcher, NIO Inc.
• July 2017 - Aug. 2018: Machine Learning Engineer, Freelance
• Sep. 2016 - June 2017: Machine Learning Engineer, Recruit Communications Co., Ltd.
• April 2013 - June 2016: Data Scientist/Software Engineer, BrainPad Inc.

Education

• Sept. 2019: Ph.D. in Computer Science - University of California, Irvine (Supervisor: Prof. Qi Alfred Chen)
• Sept. 2018: MS in Computer Science - University of California, Irvine (Supervisor: Prof. Qi Alfred Chen)
• March 2013: MEng of Industrial Engineering and Management - Tokyo Institute of Technology (Supervisor: Prof. Kazuhide Nakata)
• March 2011: BEng of Industrial Engineering and Management - Tokyo Institute of Technology (Supervisor: Prof. Kazuhide Nakata)