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ORCIDTsubasa Takahashi 0001
Person information
- not to be confused with: Tsubasa Takahashi 0002
- affiliation: LINE Corp., Japan
- affiliation (former): NEC Corp., Kawasaki, Japan
- affiliation (former): University of Tsukuba, Graduate School of Systems and Information Engineering, Japan
Other persons with the same name
- Tsubasa Takahashi 0002 — Japan Research Institute, System Integration Department, Tokyo, Japan (and 1 more)
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Journal Articles
- 2023
[j4]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: 748-757 (2023)- 2022
- [j3]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): 1766-1778 (2022) - 2016
- [j2]Ryosuke Koyanagi, Ryo Furukawa, Tsubasa Takahashi, Takuya Mori, Toshiyuki Amagasa
, Hiroyuki Kitagawa:
A Scheme for Fast k-Concealment Anonymization. IEICE Trans. Inf. Syst. 99-D(4): 1000-1009 (2016) - 2010
- [j1]Tsubasa Takahashi, Hiroyuki Kitagawa, Keita Watanabe:
Social Bookmarking Induced Active Page Ranking. IEICE Trans. Inf. Syst. 93-D(6): 1403-1413 (2010)
Conference and Workshop Papers
- 2024
- [c24]Genki Osada, Tsubasa Takahashi, Takashi Nishide:
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. AAAI 2024: 21492-21500 - [c23]Masashi Kudo, Tsubasa Takahashi, Hayato Yamana:
Touch-Based Continuous Mobile Device Authentication Using One-vs-One Classification Approach. BigComp 2024: 167-174 - [c22]Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka:
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CVPR 2024: 24420-24430 - [c21]Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara:
Estimating Visited Stores Through Positive-Unlabeled Learning. DASFAA (7) 2024: 377-389 - [c20]Marin Matsumoto, Tsubasa Takahashi, Masato Oguchi:
IPEQ: Querying Multi-attribute Records with Inner Product Encryption. SEC 2024: 338-352 - 2023
- [c19]Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi:
Frequency-aware GAN for Adversarial Manipulation Generation. ICCV 2023: 4292-4301 - [c18]Masashi Kudo, Tsubasa Takahashi, Shojiro Ushiyama, Hayato Yamana:
Fair and Robust Metric for Evaluating Touch-based Continuous Mobile Device Authentication. IUI Companion 2023: 141-144 - [c17]Genki Osada, Tsubasa Takahashi, Budrul Ahsan, Takashi Nishide:
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty. WACV 2023: 5540-5552 - 2022
- [c16]Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana:
Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy. IEEE Big Data 2022: 5812-5822 - [c15]Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno:
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. ICLR 2022 - [c14]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: 1-6 - [c13]Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Network Shuffling: Privacy Amplification via Random Walks. SIGMOD Conference 2022: 773-787 - 2021
- [c12]Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana:
Construction of Differentially Private Summaries Over Fully Homomorphic Encryption. DEXA (2) 2021: 9-21 - [c11]Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa:
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. ICDE 2021: 169-180 - 2020
- [c10]Tatsuya Komatsu, Masahito Togami, Tsubasa Takahashi:
Sound Event Localization and Detection Using Convolutional Recurrent Neural Networks and Gated Linear Units. EUSIPCO 2020: 41-45 - 2019
- [c9]Tsubasa Takahashi:
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. IEEE BigData 2019: 1395-1400 - [c8]Kazuya Kakizaki, Kosuke Yoshida, Tsubasa Takahashi:
GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor. PST 2019: 1-7 - 2017
- [c7]Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos:
AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. WWW 2017: 213-221 - 2014
- [c6]Miho Kakizawa, Chiemi Watanabe, Ryo Furukawa, Tsubasa Takahashi:
Improvement of Pk-Anonymization. SRDS Workshops 2014: 82-87 - 2013
- [c5]Tsubasa Takahashi, Koji Sobataka, Takao Takenouchi, Yuki Toyoda, Takuya Mori, Takahide Kohro:
Top-down itemset recoding for releasing private complex data. PST 2013: 373-376 - 2012
- [c4]Tsubasa Takahashi, Shinya Miyakawa:
CMOA: continuous moving object anonymization. IDEAS 2012: 81-90 - 2010
- [c3]Yuto Yamaguchi, Tsubasa Takahashi, Toshiyuki Amagasa, Hiroyuki Kitagawa:
TURank: Twitter User Ranking Based on User-Tweet Graph Analysis. WISE 2010: 240-253 - 2009
- [c2]Tsubasa Takahashi, Hiroyuki Kitagawa:
A Ranking Method for Web Search Using Social Bookmarks. DASFAA 2009: 585-589 - 2008
- [c1]Tsubasa Takahashi, Hiroyuki Kitagawa:
S-BITS : Social-Bookmarking Induced Topic Search. WAIM 2008: 25-30
Informal and Other Publications
- 2024
- [i20]Genki Osada, Tsubasa Takahashi, Takashi Nishide:
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. CoRR abs/2402.10477 (2024) - [i19]Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka:
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CoRR abs/2404.09401 (2024) - [i18]Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa:
Federated Graph Analytics with Differential Privacy. CoRR abs/2405.20576 (2024) - [i17]Shojiro Yamabe, Tsubasa Takahashi, Futa Waseda, Koki Wataoka:
MergePrint: Robust Fingerprinting against Merging Large Language Models. CoRR abs/2410.08604 (2024) - [i16]Koki Wataoka, Tsubasa Takahashi, Ryokan Ri:
Self-Preference Bias in LLM-as-a-Judge. CoRR abs/2410.21819 (2024) - 2022
- [i15]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 abs/2203.06791 (2022) - [i14]Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Network Shuffling: Privacy Amplification via Random Walks. CoRR abs/2204.03919 (2022) - [i13]Seng Pei Liew, Satoshi Hasegawa, Tsubasa Takahashi:
Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning. CoRR abs/2206.03151 (2022) - [i12]Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi:
Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning. CoRR abs/2206.09122 (2022) - [i11]Seng Pei Liew, Tsubasa Takahashi:
Shuffle Gaussian Mechanism for Differential Privacy. CoRR abs/2206.09569 (2022) - [i10]Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka:
Scaling Private Deep Learning with Low-Rank and Sparse Gradients. CoRR abs/2207.02699 (2022) - [i9]Genki Osada, Tsubasa Takahashi, Budrul Ahsan, Takashi Nishide:
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty. CoRR abs/2212.12641 (2022) - 2021
- [i8]Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno:
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. CoRR abs/2106.04590 (2021) - [i7]Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana:
Construction of Differentially Private Summaries over Fully Homomorphic Encryption. CoRR abs/2112.08662 (2021) - 2020
- [i6]Hajime Ono, Tsubasa Takahashi:
Locally Private Distributed Reinforcement Learning. CoRR abs/2001.11718 (2020) - [i5]Tsubasa Takahashi:
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. CoRR abs/2002.08012 (2020) - [i4]Tsubasa Takahashi, Shun Takagi, Hajime Ono, Tatsuya Komatsu:
Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation. CoRR abs/2006.11204 (2020) - [i3]Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa:
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. CoRR abs/2006.12101 (2020) - [i2]Seng Pei Liew, Tsubasa Takahashi:
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries. CoRR abs/2010.14023 (2020) - 2018
- [i1]Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki:
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples. CoRR abs/1811.08080 (2018)
Coauthor Index
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