Hideaki Takahashi
Ph.D. @Columbia / Crypto / AI / System Security
I am a third-year PhD student in the Computer Science department at Columbia University, advised
by Prof. Junfeng Yang. I also work closely
with Prof. Suman Jana and am a member of the Center for Digital Finance and Technologies.
My current work focuses on Software Security, Zero Knowledge Proofs, and AI agents.
I received a Bachelor of Arts and Science in Informatics from the University of Tokyo, where I was advised
by Prof. Alex Fukunaga. During my undergraduate studies, I spent a gap year as a research intern at Tsinghua University under the
supervision of Prof. Yang Liu and
Prof. Jingjing Liu.
I am also passionate about open-source development, and my projects have gained 1k+ GitHub stars in totoal.
(Tip: The most useful information on this page, my favorite Japanese restaurants in NYC, is available at the very end.)
Links:
Keywords:
- Software Testing Fuzzing Formal Method Zero Knowledge Proof Federated Learning
Education
- Columbia University in the City of New York: Sep. 2024 ~
Ph.D. Student (Computer Science)
- The University of Tokyo: Apr. 2019 ~ Mar. 2024
Bachelor of Arts and Science (Informatics)
Papers (peer-reviewed)
- [IEEE S&P'26] zkFuzz: Foundation and Framework for Effective Fuzzing of Zero-Knowledge Circuits. IEEE Symposium on Security and Privacy - 2026
Hideaki Takahashi*, Jihwan Kim, Suman Jana, Junfeng Yang
- [AAMAS'24] On the Transit Obfuscation Problem. Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems - 2024
Hideaki Takahashi*, Alex Fukunaga
- [ICLR'24] VFLAIR, A Research Library and Benchmark for Vertical Federated Learning. Proceedings of the International Conference on Learning Representations - 2024
Zou, Tianyuan, Zixuan Gu, Yuanqin He, Hideaki Takahashi, Yang Liu, Guangnan Ye and Ya-Qin Zhang
- [CVPR'23] Breaching FedMD, Image Recovery via Paired-Logits Inversion Attack. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition - 2023
Hideaki Takahashi*, Jingjing Liu, and Yang Liu
Preprints
- Detecting buggy contracts via smart testing. arXiv:2409.04597 - 2024
Sally Junsong Wang, Jianan Yao, Kexin Pei, Hideaki Takahashi, and Junfeng Yan
- Eliminating Label Leakage in Tree‑based Vertical Federated Learning. arXiv:2307.10318 - 2023
Hideaki Takahashi*, Jingjing Liu, and Yang Liu
- Difficulty of Detecting Overstated Dataset Size in Federated Learning. Technical Report of DPS, 10, Information Processing Society of Japan. - 2021
Hideaki Takahashi*, Kohei Ichikawa, and Keichi Takahashi
Selected Security Findings
Selected Softwares
- h5i
The red-teaming browser for AI agents (600+ stars on GitHub)
- AIJack
Security risk simulator for machine learning (400+ stars on GitHub, 10k+ downloads)
Research Experience
- Fukunaga Lab, The University of Tokyo: Apr. 2023 - Mar. 2024
Undergraduate Student
Conducted research on the transit obfuscation problem, which is a new task of privacy-preserving AI planning, under the supervision of Prof. Alex Fukunaga.
- Institute for AI Industry Research, Tsinghua University: Jan. 2022 ‑ Feb. 2023
Federated Learning & Privacy Computing Intern
Conducted research on federated learning and privacy computing under the supervision of Prof. Yang Liu and Prof. Jingjing Liu.
- Laboratory for Software Design and Analysis, Nara Institute of Science and Technology: Aug. 2021 ‑ Sep. 2021
Visiting Student
Conducted research on the free‑rider problem of federated learning under the supervision of Prof. Kohei Ichikawa and Prof. Keichi Takahashi.
Industry Experience
- Apple Inc.: Feb. 2024 - Jul. 2024
Technical Internship: AIML/Software Engineer
Working on AIML/software engineering.
- UTokyo Economic Consulting Inc.: Oct. 2020 - Mar. 2024
Research Assistant
Working on research and social implementations of econometrics and machine learning.
- RECRUIT: Aug. 2020 - Sep. 2020
Data Science Intern
Worked on a location‑based restaurant recommendation iOS app.
- M3, Inc.: Feb. 2020 - Jun. 2020
Data Analysis Intern
Worked on a data analysis project in the field of medical surveys.
- FRONTEO, Inc.: Sep. 2019 ‑ Mar. 2020
Research Intern
Worked on the detection of anomaly documents with NLP and network analysis.
Honors
- Funai Foundation Scholarship - 2024
Scholarship
Granted two years of tuition and stipend
- Kaggle, Google - Fast or Slow? Predict AI Model Runtime - 2023
45th/616 teams (silver medal)
Compiler Optimization, Automated Algorithmic Configuration
- Kaggle, Hungry Geese - 2021
67th/875 teams (bronze medal)
AI Agent, Reinforcement Learning
- Kaggle, Santa 2020 - 2021
52nd/788 teams (bronze medal)
AI Agent, Reinforcement Learning, Multi-Armed Bandit
- Kaggle, Google Research Football with Manchester City F.C. - 2020
51st/1138 teams (silver medal)
AI Agent, Reinforcement Learning
- Kaggle, Cornell Birdcall Identification - 2020
88th/1390 teams (bronze medal)
Audio Classification, Signal Processing
Service
Reviewer
- NeurIPS 2026
- IEEE Transactions on Network Science and Engineering
- IEEE Transactions on Medical Imaging
- IEEE Transactions on Dependable and Secure Computing
Favorite Japanese Restaurants in New York
- Okatte Tanto NY, 249 E 49th St New York, NY 10017
- Sushi Beauu, 15 W 33rd St, New York, NY 10118
- Kimura, 31 St Marks Pl, New York, NY 10003
- Afuri, 61 N 11th St, Brooklyn, NY 11249
- heno heno, 358 W 46th St, New York, NY 10036
- Uzuki, 95 Guernsey St, Brooklyn, NY 11222
Contact
Email: ht[3^5*11]@columbia.edu