Tsubasa Takahashi

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 32

Top Topics

Differential Privacy

Homomorphic Encryption

Tensor Factorization

Diffusion Models

Top Venues

Proc. VLDB Endow.

Publications

Genki Osada, Tsubasa Takahashi, Takashi Nishide
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. AAAI (2024)
Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa
Federated Graph Analytics with Differential Privacy. CoRR (2024)
Masashi Kudo, Tsubasa Takahashi, Hayato Yamana
Touch-Based Continuous Mobile Device Authentication Using One-vs-One Classification Approach. BigComp (2024)
Genki Osada, Tsubasa Takahashi, Takashi Nishide
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. CoRR (2024)
Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CoRR (2024)
Masashi Kudo, Tsubasa Takahashi, Shojiro Ushiyama, Hayato Yamana
Fair and Robust Metric for Evaluating Touch-based Continuous Mobile Device Authentication. IUI Companion (2023)
Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka
Scaling Private Deep Learning with Low-rank and Sparse Gradients. J. Inf. Process. 31 (2023)
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Network Shuffling: Privacy Amplification via Random Walks. CoRR (2022)
Seng Pei Liew, Satoshi Hasegawa, Tsubasa Takahashi
Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning. CoRR (2022)
Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. ICLR (2022)
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Network Shuffling: Privacy Amplification via Random Walks. SIGMOD Conference (2022)
Seng Pei Liew, Tsubasa Takahashi
Shuffle Gaussian Mechanism for Differential Privacy. CoRR (2022)
Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka
Scaling Private Deep Learning with Low-Rank and Sparse Gradients. CoRR (2022)
Tsubasa Takahashi, Daisuke Yashiro, Kazuhiro Yubai, Satoshi Komada
Position Control of a Two-Degree-of-Freedom Parallel Robot Including Torsion Springs and Motor/Load-Side Encoders. IECON (2022)
Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi
Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning. CoRR (2022)
Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana
Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy. Big Data (2022)
Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. CoRR (2022)
Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. Proc. VLDB Endow. 15 (9) (2022)
Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana
Construction of Differentially Private Summaries Over Fully Homomorphic Encryption. DEXA (2) (2021)
Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. ICDE (2021)
Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. CoRR (2021)
Tatsuya Komatsu, Masahito Togami, Tsubasa Takahashi
Sound Event Localization and Detection Using Convolutional Recurrent Neural Networks and Gated Linear Units. EUSIPCO (2020)
Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. CoRR (2020)
Tsubasa Takahashi
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. CoRR (2020)
Tsubasa Takahashi, Shun Takagi, Hajime Ono, Tatsuya Komatsu
Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation. CoRR (2020)
Seng Pei Liew, Tsubasa Takahashi
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries. CoRR (2020)
Hajime Ono, Tsubasa Takahashi
Locally Private Distributed Reinforcement Learning. CoRR (2020)
Kazuya Kakizaki, Kosuke Yoshida, Tsubasa Takahashi
GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor. PST (2019)
Tsubasa Takahashi
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. IEEE BigData (2019)
Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples. CoRR (2018)
Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos
AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. WWW (2017)
Ryosuke Koyanagi, Ryo Furukawa, Tsubasa Takahashi, Takuya Mori, Toshiyuki Amagasa, Hiroyuki Kitagawa
-Concealment Anonymization. IEICE Trans. Inf. Syst. (4) (2016)
Miho Kakizawa, Chiemi Watanabe, Ryo Furukawa, Tsubasa Takahashi
Improvement of Pk-Anonymization. SRDS Workshops (2014)
Tsubasa Takahashi, Koji Sobataka, Takao Takenouchi, Yuki Toyoda, Takuya Mori, Takahide Kohro
Top-down itemset recoding for releasing private complex data. PST (2013)
Tsubasa Takahashi, Shinya Miyakawa
CMOA: continuous moving object anonymization. IDEAS (2012)
Yuto Yamaguchi, Tsubasa Takahashi, Toshiyuki Amagasa, Hiroyuki Kitagawa
TURank: Twitter User Ranking Based on User-Tweet Graph Analysis. WISE (2010)
Tsubasa Takahashi, Hiroyuki Kitagawa, Keita Watanabe
Social Bookmarking Induced Active Page Ranking. IEICE Trans. Inf. Syst. (6) (2010)
Tsubasa Takahashi, Hiroyuki Kitagawa
A Ranking Method for Web Search Using Social Bookmarks. DASFAA (2009)
Tsubasa Takahashi, Hiroyuki Kitagawa
S-BITS : Social-Bookmarking Induced Topic Search. WAIM (2008)