Tsubasa Takahashi

59 papers A* 7A 1B 3C 4Misc 1Journal 31Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes. AAAI Keishi Ishihara, Kento Sasaki, Tsubasa Takahashi, Daiki Shiono, Yu Yamaguchi
2025	—	`conf`	MRF-JOIN: Differentially Private Vertical Data Synthesis via Federated Marginal Join on Shared Attributes. DEXA (2) Marin Matsumoto, Tsubasa Takahashi, Shun Takagi, Masato Oguchi
2025	—	`conf`	MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models. ACL (1) Shojiro Yamabe, Futa Kai Waseda, Tsubasa Takahashi, Koki Wataoka
2025	J	`jnl`	One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression. CoRR Keita Miwa, Kento Sasaki, Hidehisa Arai, Tsubasa Takahashi, Yu Yamaguchi
2025	J	`jnl`	Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language Models. CoRR Futa Waseda, Shojiro Yamabe, Daiki Shiono, Kento Sasaki, Tsubasa Takahashi
2025	J	`jnl`	STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes. CoRR Keishi Ishihara, Kento Sasaki, Tsubasa Takahashi, Daiki Shiono, Yu Yamaguchi
2025	J	`jnl`	Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models. CoRR Shojiro Yamabe, Futa Waseda, Daiki Shiono, Tsubasa Takahashi
2025	J	`jnl`	Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness. CoRR Tsubasa Takahashi, Shojiro Yamabe, Futa Waseda, Kento Sasaki
2025	—	`conf`	eCommTouch: A Benchmark Dataset for Touch-based Continuous Mobile Device Authentication for e-Commerce. BigComp Masashi Kudo, Tsubasa Takahashi, Isao Echizen, Hayato Yamana
2024	J	`jnl`	ACT-Bench: Towards Action Controllable World Models for Autonomous Driving. CoRR Hidehisa Arai, Keishi Ishihara, Tsubasa Takahashi, Yu Yamaguchi
2024	—	`conf`	Estimating Visited Stores Through Positive-Unlabeled Learning. DASFAA (7) Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara
2024	J	`jnl`	Federated Graph Analytics with Differential Privacy. CoRR Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa
2024	Misc	`conf`	IPEQ: Querying Multi-attribute Records with Inner Product Encryption. SEC Marin Matsumoto, Tsubasa Takahashi, Masato Oguchi
2024	J	`jnl`	Measuring Local and Shuffled Privacy of Gradient Randomized Response. J. Inf. Process. Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi
2024	J	`jnl`	MergePrint: Robust Fingerprinting against Merging Large Language Models. CoRR Shojiro Yamabe, Tsubasa Takahashi, Futa Waseda, Koki Wataoka
2024	J	`jnl`	Self-Preference Bias in LLM-as-a-Judge. CoRR Koki Wataoka, Tsubasa Takahashi, Ryokan Ri
2024	—	`conf`	Touch-Based Continuous Mobile Device Authentication Using One-vs-One Classification Approach. BigComp Masashi Kudo, Tsubasa Takahashi, Hayato Yamana
2024	A*	`conf`	Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. AAAI Genki Osada, Tsubasa Takahashi, Takashi Nishide
2024	J	`jnl`	Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. CoRR Genki Osada, Tsubasa Takahashi, Takashi Nishide
2024	A*	`conf`	Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CVPR Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka
2024	J	`jnl`	Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CoRR Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka
2023	—	`conf`	Fair and Robust Metric for Evaluating Touch-based Continuous Mobile Device Authentication. IUI Companion Masashi Kudo, Tsubasa Takahashi, Shojiro Ushiyama, Hayato Yamana
2023	A*	`conf`	Frequency-aware GAN for Adversarial Manipulation Generation. ICCV Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi
2023	A	`conf`	Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty. WACV Genki Osada, Tsubasa Takahashi, Budrul Ahsan, Takashi Nishide
2023	J	`jnl`	Scaling Private Deep Learning with Low-rank and Sparse Gradients. J. Inf. Process. Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka
2022	J	`jnl`	HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. CoRR Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
2022	J	`jnl`	HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. Proc. VLDB Endow. Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
2022	B	`conf`	Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy. IEEE Big Data Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana
2022	J	`jnl`	Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning. CoRR Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi
2022	—	`conf`	Network Shuffling: Privacy Amplification via Random Walks. SIGMOD Conference Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022	J	`jnl`	Network Shuffling: Privacy Amplification via Random Walks. CoRR Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022	J	`jnl`	Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty. CoRR Genki Osada, Tsubasa Takahashi, Budrul Ahsan, Takashi Nishide
2022	A*	`conf`	PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. ICLR Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
2022	C	`conf`	Position Control of a Two-Degree-of-Freedom Parallel Robot Including Torsion Springs and Motor/Load-Side Encoders. IECON Tsubasa Takahashi, Daisuke Yashiro, Kazuhiro Yubai, Satoshi Komada
2022	J	`jnl`	Scaling Private Deep Learning with Low-Rank and Sparse Gradients. CoRR Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka
2022	J	`jnl`	Shuffle Gaussian Mechanism for Differential Privacy. CoRR Seng Pei Liew, Tsubasa Takahashi
2022	J	`jnl`	Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning. CoRR Seng Pei Liew, Satoshi Hasegawa, Tsubasa Takahashi
2021	—	`conf`	Construction of Differentially Private Summaries Over Fully Homomorphic Encryption. DEXA (2) Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana
2021	J	`jnl`	Construction of Differentially Private Summaries over Fully Homomorphic Encryption. CoRR Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana
2021	A*	`conf`	P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. ICDE Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa
2021	J	`jnl`	PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. CoRR Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
2020	J	`jnl`	Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation. CoRR Tsubasa Takahashi, Shun Takagi, Hajime Ono, Tatsuya Komatsu
2020	J	`jnl`	FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries. CoRR Seng Pei Liew, Tsubasa Takahashi
2020	J	`jnl`	Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. CoRR Tsubasa Takahashi
2020	J	`jnl`	Locally Private Distributed Reinforcement Learning. CoRR Hajime Ono, Tsubasa Takahashi
2020	J	`jnl`	P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. CoRR Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa
2020	—	`conf`	Sound Event Localization and Detection Using Convolutional Recurrent Neural Networks and Gated Linear Units. EUSIPCO Tatsuya Komatsu, Masahito Togami, Tsubasa Takahashi
2019	C	`conf`	GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor. PST Kazuya Kakizaki, Kosuke Yoshida, Tsubasa Takahashi
2019	—	`conf`	Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. IEEE BigData Tsubasa Takahashi
2018	J	`jnl`	Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples. CoRR Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki
2017	A*	`conf`	AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. WWW Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos
2016	J	`jnl`	A Scheme for Fast IEICE Trans. Inf. Syst. Ryosuke Koyanagi, Ryo Furukawa, Tsubasa Takahashi, Takuya Mori, Toshiyuki Amagasa, Hiroyuki Kitagawa
2014	—	`conf`	Improvement of Pk-Anonymization. SRDS Workshops Miho Kakizawa, Chiemi Watanabe, Ryo Furukawa, Tsubasa Takahashi
2013	C	`conf`	Top-down itemset recoding for releasing private complex data. PST Tsubasa Takahashi, Koji Sobataka, Takao Takenouchi, Yuki Toyoda, Takuya Mori, Takahide Kohro
2012	C	`conf`	CMOA: continuous moving object anonymization. IDEAS Tsubasa Takahashi, Shinya Miyakawa
2010	J	`jnl`	Social Bookmarking Induced Active Page Ranking. IEICE Trans. Inf. Syst. Tsubasa Takahashi, Hiroyuki Kitagawa, Keita Watanabe
2010	B	`conf`	TURank: Twitter User Ranking Based on User-Tweet Graph Analysis. WISE Yuto Yamaguchi, Tsubasa Takahashi, Toshiyuki Amagasa, Hiroyuki Kitagawa
2009	B	`conf`	A Ranking Method for Web Search Using Social Bookmarks. DASFAA Tsubasa Takahashi, Hiroyuki Kitagawa
2008	—	`conf`	S-BITS : Social-Bookmarking Induced Topic Search. WAIM Tsubasa Takahashi, Hiroyuki Kitagawa