Masatoshi Yoshikawa

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All published works

Action	Title	Year	Authors
+ PDF Chat	PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms	2024	Shang Liu Hao Du Yang Cao Bo Yan Jinfei Liu Masatoshi Yoshikawa
+ PDF Chat	Federated Graph Analytics with Differential Privacy	2024	Shang Liu Yang Cao Takao Murakami Weiran Liu Seng Pei Liew Tsubasa Takahashi Jinfei Liu Masatoshi Yoshikawa
+ PDF Chat	HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization	2024	Shun Takagi Li Xiong Fumiyuki Kato Yang Cao Masatoshi Yoshikawa
+ PDF Chat	CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers	2024	Shang Liu Yang Cao Takao Murakami Jinfei Liu Masatoshi Yoshikawa
+ PDF Chat	Local Differential Privacy Image Generation Using Flow-Based Deep Generative Models	2023	Hisaichi Shibata Shouhei Hanaoka Yang Cao Masatoshi Yoshikawa Tomomi Takenaga Yukihiro Nomura Naoto Hayashi Osamu Abe
+ PDF Chat	BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information	2023	Jiexin Wang Adam Jatowt Masatoshi Yoshikawa Yi Cai
+	Differentially Private Streaming Data Release under Temporal Correlations via Post-processing	2023	Xuyang Cao Yang Cao Primal Pappachan Atsuyoshi Nakamura Masatoshi Yoshikawa
+	ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy	2023	Fumiyuki Kato Li Xiong Shun Takagi Yang Cao Masatoshi Yoshikawa
+	CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers	2023	Shang Liu Yang Cao Takao Murakami Jinfei Liu Masatoshi Yoshikawa
+ PDF Chat	Asymmetric Differential Privacy	2022	Shun Takagi Fumiyuki Kato Yang Cao Masatoshi Yoshikawa
+ PDF Chat	A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy	2022	Shang Liu Yang Cao Takao Murakami Masatoshi Yoshikawa
+ PDF Chat	FL-Market: Trading Private Models in Federated Learning	2022	Shuyuan Zheng Yang Cao Masatoshi Yoshikawa Huizhong Li Yan Qiang
+ PDF Chat	Network Shuffling: Privacy Amplification via Random Walks	2022	Seng Pei Liew Tsubasa Takahashi Shun Takagi Fumiyuki Kato Yang Cao Masatoshi Yoshikawa
+ PDF Chat	HDPView	2022	Fumiyuki Kato Tsubasa Takahashi Shun Takagi Yang Cao Seng Pei Liew Masatoshi Yoshikawa
+	ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections.	2021	Jiexin Wang Adam Jatowt Masatoshi Yoshikawa
+	Incentive Mechanism for Privacy-Preserving Federated Learning.	2021	Shuyuan Zheng Yang Cao Masatoshi Yoshikawa
+ PDF Chat	FLAME: Differentially Private Federated Learning in the Shuffle Model	2021	Ruixuan Liu Yang Cao Hong Chen Ruoyang Guo Masatoshi Yoshikawa
+	Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness.	2021	Shuyuan Zheng Yang Cao Masatoshi Yoshikawa
+ PDF Chat	P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model	2021	Shun Takagi Tsubasa Takahashi Yang Cao Masatoshi Yoshikawa
+	Asymmetric Differential Privacy	2021	Shun Takagi Yang Cao Masatoshi Yoshikawa
+	Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism	2021	Fumiyuki Kato Yang Cao Masatoshi Yoshikawa
+	Understanding the Interplay between Privacy and Robustness in Federated Learning	2021	Yaowei Han Yang Cao Masatoshi Yoshikawa
+ PDF Chat	Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism	2021	Fumiyuki Kato Yang Cao Masatoshi Yoshikawa
+	Pricing Private Data with Personalized Differential Privacy and Partial Arbitrage Freeness	2021	Shuyuan Zheng Yang Cao Masatoshi Yoshikawa
+	FL-Market: Trading Private Models in Federated Learning	2021	Shuyuan Zheng Yang Cao Masatoshi Yoshikawa Huizhong Li Yan Qiang
+ PDF Chat	Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware	2020	Fumiyuki Kato Yang Cao Masatoshi Yoshikawa
+ PDF Chat	Voice-Indistinguishability: Protecting Voiceprint In Privacy-Preserving Speech Data Release	2020	Yaowei Han Sheng Li Yang Cao Qiang Ma Masatoshi Yoshikawa
+	FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection	2020	Ruixuan Liu Yang Cao Masatoshi Yoshikawa Hong Chen
+	Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release	2020	Yaowei Han Sheng Li Yang Cao Qiang Ma Masatoshi Yoshikawa
+	PGLP: Customizable and Rigorous Location Privacy through Policy Graph	2020	Yang Cao Yonghui Xiao Shun Takagi Li Xiong Masatoshi Yoshikawa Yilin Shen Jinfei Liu Hongxia Jin Xiaofeng Xu
+	PANDA: Policy-aware Location Privacy for Epidemic Surveillance	2020	Yang Cao Shun Takagi Yonghui Xiao Li Xiong Masatoshi Yoshikawa
+	P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model	2020	Shun Takagi Tsubasa Takahashi Yang Cao Masatoshi Yoshikawa
+ PDF Chat	PGLP: Customizable and Rigorous Location Privacy Through Policy Graph	2020	Yang Cao Yonghui Xiao Shun Takagi Li Xiong Masatoshi Yoshikawa Yilin Shen Jinfei Liu Hongxia Jin Xiaofeng Xu
+ PDF Chat	FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection	2020	Ruixuan Liu Yang Cao Masatoshi Yoshikawa Hong Chen
+	Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy	2020	Shun Takagi Yang Cao Yasuhito Asano Masatoshi Yoshikawa
+	Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware	2020	Fumiyuki Kato Yang Cao Masatoshi Yoshikawa
+	Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps	2020	Patrick Ocheja Yang Cao Shiyao Ding Masatoshi Yoshikawa
+	FLAME: Differentially Private Federated Learning in the Shuffle Model	2020	Ruixuan Liu Yang Cao Hong Chen Ruoyang Guo Masatoshi Yoshikawa
+	Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services	2019	Yang Cao Yonghui Xiao Li Xiong Liquan Bai Masatoshi Yoshikawa
+	Money Cannot Buy Everything: Trading Infinite Location Data Streams with Bounded Individual Privacy Loss.	2019	Shuyuan Zheng Yang Cao Masatoshi Yoshikawa
+ PDF Chat	Blockchain-based Bidirectional Updates on Fine-grained Medical Data	2019	Chunmiao Li Yang Cao Zhenjiang Hu Masatoshi Yoshikawa
+ PDF Chat	Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data	2019	Chunmiao Li Yang Cao Zhenjiang Hu Masatoshi Yoshikawa
+	Toward a view-based data cleaning architecture	2019	Toshiyuki Shimizu Hiroki Omori Masatoshi Yoshikawa
+	Trading Location Data with Bounded Personalized Privacy Loss	2019	Shuyuan Zheng Yang Cao Masatoshi Yoshikawa
+ PDF Chat	“When and Where Do You Want to Hide?” – Recommendation of Location Privacy Preferences with Local Differential Privacy	2019	Maho Asada Masatoshi Yoshikawa Yang Cao
+ PDF Chat	Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training	2018	Bei Liu Jianlong Fu Makoto P. Kato Masatoshi Yoshikawa
+ PDF Chat	Beyond Narrative Description	2018	Bei Liu Jianlong Fu Makoto P. Kato Masatoshi Yoshikawa
+ PDF Chat	Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training	2018	Bei Liu Jianlong Fu Makoto P. Kato Masatoshi Yoshikawa
+ PDF Chat	Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations	2018	Yang Cao Masatoshi Yoshikawa Yonghui Xiao Li Xiong
+	A View-based Programmable Architecture for Controlling and Integrating Decentralized Data	2018	Yasuhito Asano Soichiro Hidaka Zhenjiang Hu Yasunori Ishihara Hiroyuki Kato Hsiang−Shang Ko Keisuke Nakano Makoto Onizuka Yuya Sasaki Toshiyuki Shimizu
+	Making View Update Strategies Programmable - Toward Controlling and Sharing Distributed Data -	2018	Yasuhito Asano Soichiro Hidaka Zhenjiang Hu Yasunori Ishihara Hiroyuki Kato Hsiang−Shang Ko Keisuke Nakano Makoto Onizuka Yuya Sasaki Toshiyuki Shimizu
+ PDF Chat	Quantifying Differential Privacy under Temporal Correlations	2017	Yang Cao Masatoshi Yoshikawa Yonghui Xiao Li Xiong
+	How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market	2017	Rachana Nget Yang Cao Masatoshi Yoshikawa
+ PDF Chat	Your neighbors are my spies: Location and other privacy concerns in GLBT-focused location-based dating applications	2017	Nguyen Phong Hoang Yasuhito Asano Masatoshi Yoshikawa
+ PDF Chat	Your neighbors are my spies: Location and other privacy concerns in dating apps	2016	Nguyen Phong Hoang Yasuhito Asano Masatoshi Yoshikawa
+	Your Neighbors Are My Spies: Location and other Privacy Concerns in GLBT-focused Location-based Dating Applications	2016	Nguyen Phong Hoang Yasuhito Asano Masatoshi Yoshikawa
+	Statistical modeling of large distribution sets	2010	Yasuko Matsubara Yasushi Sakurai Masatoshi Yoshikawa

Common Coauthors

Coauthor	Papers Together
Yang Cao	43
Shun Takagi	11
Fumiyuki Kato	9
Li Xiong	7
Shuyuan Zheng	7
Yonghui Xiao	6
Yasuhito Asano	6
Jinfei Liu	6
Shang Liu	5
Tsubasa Takahashi	5
Takao Murakami	4
Ruixuan Liu	4
Zhenjiang Hu	4
Toshiyuki Shimizu	3
Makoto P. Kato	3
Jianlong Fu	3
Bei Liu	3
Yaowei Han	3
Nguyen Phong Hoang	3
Seng Pei Liew	3
Hsiang−Shang Ko	2
Adam Jatowt	2
Xiaofeng Xu	2
Ruoyang Guo	2
Keisuke Nakano	2
Hongxia Jin	2
Hong Chen	2
Kanae Tsushima	2
Qiang Ma	2
Yan Qiang	2
Huizhong Li	2
Sheng Li	2
Soichiro Hidaka	2
Chunmiao Li	2
Yasunori Ishihara	2
Hiroyuki Kato	2
Yilin Shen	2
Makoto Onizuka	2
Yuya Sasaki	2
Shun Takagi	1
Liquan Bai	1
Yasuko Matsubara	1
Tomomi Takenaga	1
Hisaichi Shibata	1
Osamu Abe	1
Maho Asada	1
Hiroki Omori	1
Naoto Hayashi	1
Patrick Ocheja	1
Yang Cao	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Quantifying Differential Privacy under Temporal Correlations	2017	Yang Cao Masatoshi Yoshikawa Yonghui Xiao Li Xiong	7
+ PDF Chat	Protecting Locations with Differential Privacy under Temporal Correlations	2015	Yonghui Xiao Li Xiong	7
+ PDF Chat	Geo-indistinguishability	2013	Miguel E. Andrés Nicolás E. Bordenabe Konstantinos Chatzikokolakis Catuscia Palamidessi	7
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	6
+ PDF Chat	Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations	2018	Yang Cao Masatoshi Yoshikawa Yonghui Xiao Li Xiong	6
+ PDF Chat	PriSTE: From Location Privacy to Spatiotemporal Event Privacy	2019	Yang Cao Yonghui Xiao Li Xiong Liquan Bai	6
+	Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias	1965	Stanley L. Warner	6
+	A Theory of Pricing Private Data	2014	Chao Li Daniel Yang Li Gerome Miklau Dan Suciu	6
+	Local Privacy and Statistical Minimax Rates	2013	John C. Duchi Michael I. Jordan Martin J. Wainwright	5
+ PDF Chat	Blowfish privacy: tuning privacy-utility trade-offs using policies	2014	Xi He Ashwin Machanavajjhala Bolin Ding	4
+ PDF Chat	Private decayed predicate sums on streams	2013	Jean Bolot Nadia Fawaz S. Muthukrishnan Aleksandar Nikolov Nina Taft	4
+	Protection Against Reconstruction and Its Applications in Private Federated Learning	2018	Abhishek Bhowmick John C. Duchi Julien Freudiger Gaurav Kapoor Ryan Rogers	4
+	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training	2018	Yujun Lin Song Han Huizi Mao Yu Wang William J. Dally	4
+ PDF Chat	FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection	2020	Ruixuan Liu Yang Cao Masatoshi Yoshikawa Hong Chen	4
+ PDF Chat	The Long Road to Computational Location Privacy: A Survey	2018	Vincent Primault Antoine Boutet Sonia Ben Mokhtar Lionel Brunie	4
+ PDF Chat	From captions to visual concepts and back	2015	Hao Fang Saurabh Gupta Forrest Iandola Rupesh K. Srivastava Li Deng Piotr Dollár Jianfeng Gao Xiaodong He Margaret Mitchell John Platt	3
+	Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models	2014	Ryan Kiros Ruslan Salakhutdinov Richard S. Zemel	3
+	Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services	2019	Yang Cao Yonghui Xiao Li Xiong Liquan Bai Masatoshi Yoshikawa	3
+ PDF Chat	Pufferfish Privacy Mechanisms for Correlated Data	2017	Shuang Song Yizhen Wang Kamalika Chaudhuri	3
+ PDF Chat	Sparse Communication for Distributed Gradient Descent	2017	Alham Fikri Aji Kenneth Heafield	3
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	3
+ PDF Chat	SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient	2017	Lantao Yu Weinan Zhang Jun Wang Yong Yu	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	FLAME: Differentially Private Federated Learning in the Shuffle Model	2021	Ruixuan Liu Yang Cao Hong Chen Ruoyang Guo Masatoshi Yoshikawa	3
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	3
+	Collecting Telemetry Data Privately	2017	Bolin Ding Janardhan Kulkarni Sergey Yekhanin	3
+ PDF Chat	Plausible deniability for privacy-preserving data synthesis	2017	Vincent Bindschaedler Reza Shokri Carl A. Gunter	3
+	Extensions of Lipschitz mappings into a Hilbert space	1984	William B. Johnson Joram Lindenstrauss	3
+ PDF Chat	What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy	2017	Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro	3
+	RAPPOR	2014	Úlfar Erlingsson Vasyl Pihur Aleksandra Korolova	3
+ PDF Chat	Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner	2017	Tseng-Hung Chen Yuan-Hong Liao Ching-Yao Chuang Wan‐Ting Hsu Jianlong Fu Min Sun	3
+	Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs	2020	Hyunghoon Cho Daphne Ippolito Yun William Yu	3
+ PDF Chat	Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity	2019	Úlfar Erlingsson Vitaly Feldman Ilya Mironov Ananth Raghunathan Kunal Talwar Abhradeep Thakurta	3
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	3
+ PDF Chat	Self-Critical Sequence Training for Image Captioning	2017	Steven J. Rennie Etienne Marcheret Youssef Mroueh Jerret Ross Vaibhava Goel	3
+	Extremal Mechanisms for Local Differential Privacy	2014	Peter Kairouz Sewoong Oh Pramod Viswanath	3
+	What Can We Learn Privately?	2011	Shiva Prasad Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam Smith	3
+ PDF Chat	Differentially Private Mixture of Generative Neural Networks	2018	Gergely Ács Luca Melis Claude Castelluccia Emiliano De Cristofaro	3
+ PDF Chat	Your neighbors are my spies: Location and other privacy concerns in dating apps	2016	Nguyen Phong Hoang Yasuhito Asano Masatoshi Yoshikawa	3
+ PDF Chat	On the geometry of differential privacy	2010	Moritz Hardt Kunal Talwar	3
+ PDF Chat	Rényi Differential Privacy	2017	Ilya Mironov	3
+ PDF Chat	Collecting and Analyzing Multidimensional Data with Local Differential Privacy	2019	Wang Ning Xiaokui Xiao Yin Yang Jun Zhao Siu Cheung Hui Hyejin Shin Junbum Shin Ge Yu	3
+ PDF Chat	A Hierarchical Approach for Generating Descriptive Image Paragraphs	2017	Jonathan Krause Justin Johnson Ranjay Krishna Li Fei-Fei	3
+	Deep Fragment Embeddings for Bidirectional Image Sentence Mapping	2014	Andrej Karpathy Armand Joulin Fei Fei F Li	3
+ PDF Chat	Boosting Image Captioning with Attributes	2017	Ting Yao Yingwei Pan Yehao Li Zhaofan Qiu Tao Mei	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+ PDF Chat	Generating Chinese Classical Poems with RNN Encoder-Decoder	2017	Xiaoyuan Yi Ruoyu Li Maosong Sun	3
+ PDF Chat	Providing Input-Discriminative Protection for Local Differential Privacy	2020	Xiaolan Gu Ming Li Li Xiong Yang Cao	3
+	Differentially Private Generative Adversarial Network	2018	Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou	2
+	On deep speaker embeddings for text-independent speaker recognition	2018	Sergey Novoselov Andrey Shulipa Ivan Kremnev Alexandr Kozlov Vadim Shchemelinin	2