Tsubasa Takahashi

According to our database, Tsubasa Takahashi authored at least 40 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Measuring Local and Shuffled Privacy of Gradient Randomized Response.

Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi

J. Inf. Process., 2024

ACT-Bench: Towards Action Controllable World Models for Autonomous Driving.

Hidehisa Arai, Keishi Ishihara, Tsubasa Takahashi, Yu Yamaguchi

CoRR, 2024

Self-Preference Bias in LLM-as-a-Judge.

Koki Wataoka, Tsubasa Takahashi, Ryokan Ri

CoRR, 2024

MergePrint: Robust Fingerprinting against Merging Large Language Models.

Shojiro Yamabe, Tsubasa Takahashi, Futa Waseda, Koki Wataoka

CoRR, 2024

Federated Graph Analytics with Differential Privacy.

Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa

CoRR, 2024

IPEQ: Querying Multi-attribute Records with Inner Product Encryption.

Marin Matsumoto, Tsubasa Takahashi, Masato Oguchi

Proceedings of the ICT Systems Security and Privacy Protection, 2024

Estimating Visited Stores Through Positive-Unlabeled Learning.

Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara

Proceedings of the Database Systems for Advanced Applications, 2024

Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models.

Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Touch-Based Continuous Mobile Device Authentication Using One-vs-One Classification Approach.

Masashi Kudo, Tsubasa Takahashi, Hayato Yamana

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection.

Genki Osada, Tsubasa Takahashi, Takashi Nishide

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Scaling Private Deep Learning with Low-rank and Sparse Gradients.

Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka

J. Inf. Process., 2023

Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty.

Genki Osada, Tsubasa Takahashi, Budrul Ahsan, Takashi Nishide

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Fair and Robust Metric for Evaluating Touch-based Continuous Mobile Device Authentication.

Masashi Kudo, Tsubasa Takahashi, Shojiro Ushiyama, Hayato Yamana

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Frequency-aware GAN for Adversarial Manipulation Generation.

Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data.

Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa

Proc. VLDB Endow., 2022

Shuffle Gaussian Mechanism for Differential Privacy.

Seng Pei Liew, Tsubasa Takahashi

CoRR, 2022

Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning.

Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi

CoRR, 2022

Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning.

Seng Pei Liew, Satoshi Hasegawa, Tsubasa Takahashi

CoRR, 2022

Network Shuffling: Privacy Amplification via Random Walks.

Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Position Control of a Two-Degree-of-Freedom Parallel Robot Including Torsion Springs and Motor/Load-Side Encoders.

Tsubasa Takahashi, Daisuke Yashiro, Kazuhiro Yubai, Satoshi Komada

Proceedings of the IECON 2022, 2022

PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning.

Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno

Proceedings of the Tenth International Conference on Learning Representations, 2022

Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy.

Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana

Proceedings of the IEEE International Conference on Big Data, 2022

2021

P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model.

Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Construction of Differentially Private Summaries Over Fully Homomorphic Encryption.

Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana

Proceedings of the Database and Expert Systems Applications, 2021

2020

FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries.

Seng Pei Liew, Tsubasa Takahashi

CoRR, 2020

Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation.

Tsubasa Takahashi, Shun Takagi, Hajime Ono, Tatsuya Komatsu

CoRR, 2020

Locally Private Distributed Reinforcement Learning.

Hajime Ono, Tsubasa Takahashi

CoRR, 2020

Sound Event Localization and Detection Using Convolutional Recurrent Neural Networks and Gated Linear Units.

Tatsuya Komatsu, Masahito Togami, Tsubasa Takahashi

Proceedings of the 28th European Signal Processing Conference, 2020

2019

GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor.

Kazuya Kakizaki, Kosuke Yoshida, Tsubasa Takahashi

Proceedings of the 17th International Conference on Privacy, Security and Trust, 2019

Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks.

Tsubasa Takahashi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples.

Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki

CoRR, 2018

2017

AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization.

Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos

Proceedings of the 26th International Conference on World Wide Web, 2017

2016

A Scheme for Fast <i>k</i>-Concealment Anonymization.

Ryosuke Koyanagi, Ryo Furukawa, Tsubasa Takahashi, Takuya Mori, Toshiyuki Amagasa, Hiroyuki Kitagawa

IEICE Trans. Inf. Syst., 2016

2014

Improvement of Pk-Anonymization.

Miho Kakizawa, Chiemi Watanabe, Ryo Furukawa, Tsubasa Takahashi

Proceedings of the 33rd IEEE International Symposium on Reliable Distributed Systems Workshops, 2014

2013

Top-down itemset recoding for releasing private complex data.

Tsubasa Takahashi, Koji Sobataka, Takao Takenouchi, Yuki Toyoda, Takuya Mori, Takahide Kohro

Proceedings of the Eleventh Annual International Conference on Privacy, Security and Trust, 2013

2012

CMOA: continuous moving object anonymization.

Tsubasa Takahashi, Shinya Miyakawa

Proceedings of the 16th International Database Engineering & Applications Symposium, 2012

2010

Social Bookmarking Induced Active Page Ranking.

Tsubasa Takahashi, Hiroyuki Kitagawa, Keita Watanabe

IEICE Trans. Inf. Syst., 2010

TURank: Twitter User Ranking Based on User-Tweet Graph Analysis.

Yuto Yamaguchi, Tsubasa Takahashi, Toshiyuki Amagasa, Hiroyuki Kitagawa

Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

2009

A Ranking Method for Web Search Using Social Bookmarks.

Tsubasa Takahashi, Hiroyuki Kitagawa

Proceedings of the Database Systems for Advanced Applications, 2009

2008

S-BITS : Social-Bookmarking Induced Topic Search.

Tsubasa Takahashi, Hiroyuki Kitagawa

Proceedings of the Ninth International Conference on Web-Age Information Management, 2008