S-BITS : Social-Bookmarking Induced Topic Search. - Tsubasa Takahashi 001; Hiroyuki Kitagawa (WAIM, 2008)

A Ranking Method for Web Search Using Social Bookmarks. - Tsubasa Takahashi 001; Hiroyuki Kitagawa (DASFAA, 2009)

TURank: Twitter User Ranking Based on User-Tweet Graph Analysis. - Yuto Yamaguchi; Tsubasa Takahashi 001; Toshiyuki Amagasa; Hiroyuki Kitagawa (WISE, 2010)

Social Bookmarking Induced Active Page Ranking. - Tsubasa Takahashi 001; Hiroyuki Kitagawa; Keita Watanabe (IEICE Trans. Inf. Syst., 2010)

CMOA: continuous moving object anonymization. - Tsubasa Takahashi 001; Shinya Miyakawa (IDEAS, 2012)

Top-down itemset recoding for releasing private complex data. - Tsubasa Takahashi 001; Koji Sobataka; Takao Takenouchi; Yuki Toyoda; Takuya Mori; Takahide Kohro (PST, 2013)

Improvement of Pk-Anonymization. - Miho Kakizawa; Chiemi Watanabe; Ryo Furukawa 003; Tsubasa Takahashi 001 (SRDS Workshops, 2014)

A Scheme for Fast k-Concealment Anonymization. - Ryosuke Koyanagi; Ryo Furukawa 003; Tsubasa Takahashi 001; Takuya Mori; Toshiyuki Amagasa; Hiroyuki Kitagawa (IEICE Trans. Inf. Syst., 2016)

AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. - Tsubasa Takahashi 001; Bryan Hooi; Christos Faloutsos (WWW, 2017)

Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples. - Hajime Ono; Tsubasa Takahashi 001; Kazuya Kakizaki (CoRR, 2018)

Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. - Tsubasa Takahashi 001 (IEEE BigData, 2019)

GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor. - Kazuya Kakizaki; Kosuke Yoshida; Tsubasa Takahashi 001 (PST, 2019)

Sound Event Localization and Detection Using Convolutional Recurrent Neural Networks and Gated Linear Units. - Tatsuya Komatsu; Masahito Togami; Tsubasa Takahashi 001 (EUSIPCO, 2020)

Locally Private Distributed Reinforcement Learning. - Hajime Ono; Tsubasa Takahashi 001 (CoRR, 2020)

Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation. - Tsubasa Takahashi 001; Shun Takagi; Hajime Ono; Tatsuya Komatsu (CoRR, 2020)

FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries. - Seng Pei Liew; Tsubasa Takahashi 001 (CoRR, 2020)

Construction of Differentially Private Summaries Over Fully Homomorphic Encryption. - Shojiro Ushiyama; Tsubasa Takahashi 001; Masashi Kudo; Hayato Yamana (DEXA (2), 2021)

P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. - Shun Takagi; Tsubasa Takahashi 001; Yang Cao 011; Masatoshi Yoshikawa (ICDE, 2021)

Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy. - Shojiro Ushiyama; Tsubasa Takahashi 001; Masashi Kudo; Hayato Yamana (IEEE Big Data, 2022)

PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. - Seng Pei Liew; Tsubasa Takahashi 001; Michihiko Ueno (ICLR, 2022)

Position Control of a Two-Degree-of-Freedom Parallel Robot Including Torsion Springs and Motor/Load-Side Encoders. - Tsubasa Takahashi 001; Daisuke Yashiro; Kazuhiro Yubai; Satoshi Komada (IECON, 2022)

Network Shuffling: Privacy Amplification via Random Walks. - Seng Pei Liew; Tsubasa Takahashi 001; Shun Takagi; Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (SIGMOD Conference, 2022)

Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning. - Seng Pei Liew; Satoshi Hasegawa; Tsubasa Takahashi 001 (CoRR, 2022)

Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning. - Marin Matsumoto; Tsubasa Takahashi 001; Seng Pei Liew; Masato Oguchi (CoRR, 2022)

Shuffle Gaussian Mechanism for Differential Privacy. - Seng Pei Liew; Tsubasa Takahashi 001 (CoRR, 2022)

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. - Fumiyuki Kato; Tsubasa Takahashi 001; Shun Takagi; Yang Cao 011; Seng Pei Liew; Masatoshi Yoshikawa (Proc. VLDB Endow., 2022)

Frequency-aware GAN for Adversarial Manipulation Generation. - Peifei Zhu; Genki Osada; Hirokatsu Kataoka; Tsubasa Takahashi 001 (ICCV, 2023)

Fair and Robust Metric for Evaluating Touch-based Continuous Mobile Device Authentication. - Masashi Kudo; Tsubasa Takahashi 001; Shojiro Ushiyama; Hayato Yamana (IUI Companion, 2023)

Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty. - Genki Osada; Tsubasa Takahashi 001; Budrul Ahsan; Takashi Nishide (WACV, 2023)

Scaling Private Deep Learning with Low-rank and Sparse Gradients. - Ryuichi Ito; Seng Pei Liew; Tsubasa Takahashi 001; Yuya Sasaki 001; Makoto Onizuka (J. Inf. Process., 2023)

Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. - Genki Osada; Tsubasa Takahashi 001; Takashi Nishide (AAAI, 2024)

Touch-Based Continuous Mobile Device Authentication Using One-vs-One Classification Approach. - Masashi Kudo; Tsubasa Takahashi 001; Hayato Yamana (BigComp, 2024)

Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. - Peifei Zhu; Tsubasa Takahashi 001; Hirokatsu Kataoka (CVPR, 2024)

Estimating Visited Stores Through Positive-Unlabeled Learning. - Ryo Shirai; Ryo Imai; Seng Pei Liew; Daichi Amagata; Tsubasa Takahashi 001; Takahiro Hara (DASFAA (7), 2024)

IPEQ: Querying Multi-attribute Records with Inner Product Encryption. - Marin Matsumoto; Tsubasa Takahashi 001; Masato Oguchi (SEC, 2024)

Federated Graph Analytics with Differential Privacy. - Shang Liu 001; Yang Cao 011; Takao Murakami; Weiran Liu; Seng Pei Liew; Tsubasa Takahashi 001; Jinfei Liu; Masatoshi Yoshikawa (CoRR, 2024)

MergePrint: Robust Fingerprinting against Merging Large Language Models. - Shojiro Yamabe; Tsubasa Takahashi 001; Futa Waseda; Koki Wataoka (CoRR, 2024)

Self-Preference Bias in LLM-as-a-Judge. - Koki Wataoka; Tsubasa Takahashi 001; Ryokan Ri (CoRR, 2024)

ACT-Bench: Towards Action Controllable World Models for Autonomous Driving. - Hidehisa Arai; Keishi Ishihara; Tsubasa Takahashi 001; Yu Yamaguchi (CoRR, 2024)

Measuring Local and Shuffled Privacy of Gradient Randomized Response. - Marin Matsumoto; Tsubasa Takahashi 001; Seng Pei Liew; Masato Oguchi (J. Inf. Process., 2024)

MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models. - Shojiro Yamabe; Futa Kai Waseda; Tsubasa Takahashi 001; Koki Wataoka (ACL (1), 2025)

eCommTouch: A Benchmark Dataset for Touch-based Continuous Mobile Device Authentication for e-Commerce. - Masashi Kudo; Tsubasa Takahashi 001; Isao Echizen; Hayato Yamana (BigComp, 2025)

MRF-JOIN: Differentially Private Vertical Data Synthesis via Federated Marginal Join on Shared Attributes. - Marin Matsumoto; Tsubasa Takahashi 001; Shun Takagi; Masato Oguchi (DEXA (2), 2025)

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression. - Keita Miwa; Kento Sasaki; Hidehisa Arai; Tsubasa Takahashi 001; Yu Yamaguchi (CoRR, 2025)

STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes. - Keishi Ishihara; Kento Sasaki; Tsubasa Takahashi 001; Daiki Shiono; Yu Yamaguchi (CoRR, 2025)