Yang Cao - RankMe

168 papers A* 24A 4B 11C 2Misc 4Journal 96Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part I ADMA (1) Masatoshi Yoshikawa, Xiaofeng Meng, Yang Cao, Chuan Xiao, Weitong Chen, Yanda Wang
2026	—	`ed.`	Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part II ADMA (2) Masatoshi Yoshikawa, Xiaofeng Meng, Yang Cao, Chuan Xiao, Weitong Chen, Yanda Wang
2026	—	`ed.`	Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part III ADMA (3) Masatoshi Yoshikawa, Xiaofeng Meng, Yang Cao, Chuan Xiao, Weitong Chen, Yanda Wang
2026	—	`ed.`	Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part IV ADMA (4) Masatoshi Yoshikawa, Xiaofeng Meng, Yang Cao, Chuan Xiao, Weitong Chen, Yanda Wang
2026	A*	`conf`	Differentially Private Subspace Fine-Tuning for Large Language Models. AAAI Lele Zheng, Xiang Wang, Tao Zhang, Yang Cao, Ke Cheng, Yulong Shen
2026	J	`jnl`	Differentially Private Subspace Fine-Tuning for Large Language Models. CoRR Lele Zheng, Xiang Wang, Tao Zhang, Yang Cao, Ke Cheng, Yulong Shen
2026	J	`jnl`	LHGstore: An In-Memory Learned Graph Storage for Fast Updates and Analytics. CoRR Pengpeng Qiao, Zhiwei Zhang, Xinzhou Wang, Zhetao Li, Xiaochun Cao, Yang Cao
2026	J	`jnl`	Locally Differentially Private Truth Discovery for Sparse Crowdsensing. IEEE Trans. Knowl. Data Eng. Pengfei Zhang, Zhikun Zhang, Yang Cao, Xiang Cheng, Youwen Zhu, Zhiquan Liu, Ji Zhang
2026	A*	`conf`	Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. AAAI Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang
2026	A*	`conf`	Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems. WWW Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi
2025	J	`jnl`	Anti-Fake Vaccine: Safeguarding Privacy Against Face Swapping via Visual-Semantic Dual Degradation. Int. J. Comput. Vis. Jingzhi Li, Changjiang Luo, Hua Zhang, Yang Cao, Xin Liao, Xiaochun Cao
2025	J	`jnl`	Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks. CoRR Meiyu Lin, Haichuan Zhang, Jiale Lao, Renyuan Li, Yuanchun Zhou, Carl Yang, Yang Cao, Mingjie Tang
2025	J	`jnl`	Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks. Proc. ACM Manag. Data Meiyu Lin, Haichuan Zhang, Jiale Lao, Renyuan Li, Yuanchun Zhou, Carl Yang, Yang Cao, Mingjie Tang
2025	A*	`conf`	Bargaining-Based Data Markets. ICDE Yuran Bi, Jinfei Liu, Kui Ren, Yihang Wu, Yang Cao
2025	J	`jnl`	Byzantine-Robust Federated Learning Framework via a Server-Client Defense Mechanisms. IEEE Internet Things J. Anxiao Song, Tao Zhang, Ke Cheng, Yang Cao, Xinghui Zhu, Yulong Shen
2025	J	`jnl`	CODE ACROSTIC: Robust Watermarking for Code Generation. CoRR Li Lin, Siyuan Xin, Yang Cao, Xiaochun Cao
2025	J	`jnl`	Continuous Publication of Weighted Graphs with Local Differential Privacy. Proc. VLDB Endow. Wen Xu, Pengpeng Qiao, Shang Liu, Zhirun Zheng, Yang Cao, Zhetao Li
2025	J	`jnl`	DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. IEEE Internet Things J. Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Yang Cao, Chun-Ying Huang
2025	J	`jnl`	Data Overvaluation Attack and Truthful Data Valuation. CoRR Shuyuan Zheng, Sudong Cai, Chuan Xiao, Yang Cao, Jianbin Qin, Masatoshi Yoshikawa, Makoto Onizuka
2025	J	`jnl`	Data-centric Federated Graph Learning with Large Language Models. CoRR Bo Yan, Zhongjian Zhang, Huabin Sun, Mengmei Zhang, Yang Cao, Chuan Shi
2025	Misc	`ed.`	Databases Theory and Applications - 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16-18, 2024, Proceedings ADC Tong Chen, Yang Cao, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
2025	A*	`conf`	Differentially Private Visual Learning with Public Subspace Augmented by Synthetic Data. ACM Multimedia Haichao Sha, Yuncheng Wu, Ruixuan Liu, Yang Cao, Hong Chen
2025	J	`jnl`	Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models. CoRR Jiaming Zhang, Che Wang, Yang Cao, Longtao Huang, Wei Yang Bryan Lim
2025	A*	`conf`	Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. ICLR Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim
2025	A*	`conf`	Federated Graph Condensation with Information Bottleneck Principles. AAAI Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi
2025	A*	`conf`	MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation. IJCAI Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao
2025	J	`jnl`	Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. CoRR Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang
2025	A*	`conf`	PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms. ICDE Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa
2025	J	`jnl`	Phantom Subgroup Poisoning: Stealth Attacks on Federated Recommender Systems. CoRR Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi
2025	—	`conf`	Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions. PAKDD (4) Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen
2025	Misc	`conf`	Pursuit of Truth: Incentive Mechanism Involving Privacy Demands in Mobile Crowdsourcing. ADC Ping Wang, Pengpeng Qiao, Yang Cao, Tao Feng
2025	J	`jnl`	Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning. CoRR Fuyao Zhang, Wenjie Li, Yurong Hao, Xinyu Yan, Yang Cao, Wei Yang Bryan Lim
2024	J	`jnl`	A Survey on Data Markets. CoRR Jiayao Zhang, Yuran Bi, Mengye Cheng, Jinfei Liu, Kui Ren, Qiheng Sun, Yihang Wu, Yang Cao, Raul Castro Fernandez, Haifeng Xu, Ruoxi Jia, Yongchan Kwon, Jian Pei, Jiachen T. Wang, Haocheng Xia, Li Xiong, Xiaohui Yu, James Zou
2024	—	`conf`	Automatic Post-editing of Speech Recognition System Output Using Large Language Models. DASFAA (Workshops) Sheng Li, Jiyi Li, Yang Cao
2024	A*	`conf`	CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. ICDE Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
2024	J	`jnl`	Differentially private trajectory event streams publishing under data dependence constraints. Inf. Sci. Yuan Shen, Wei Song, Yang Cao, Zechen Liu, Zhe Wei, Zhiyong Peng
2024	J	`jnl`	Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. CoRR Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim
2024	—	`conf`	Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. DASFAA (1) Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
2024	J	`jnl`	Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks. CoRR Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
2024	J	`jnl`	Extracting Spatiotemporal Data from Gradients with Large Language Models. CoRR Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
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	A*	`conf`	Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. WWW Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi
2024	J	`jnl`	Front Matter. Proc. VLDB Endow. Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou
2024	J	`jnl`	HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization. CoRR Shun Takagi, Li Xiong, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2024	J	`jnl`	HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization. Proc. VLDB Endow. Shun Takagi, Li Xiong, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2024	—	`conf`	Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition. MMAsia Chao Tan, Sheng Li, Yang Cao, Zhao Ren, Tanja Schultz
2024	J	`jnl`	Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition. CoRR Chao Tan, Sheng Li, Yang Cao, Zhao Ren, Tanja Schultz
2024	J	`jnl`	Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi
2024	A*	`conf`	Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. ICML Saber Malekmohammadi, Yaoliang Yu, Yang Cao
2024	J	`jnl`	Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. CoRR Saber Malekmohammadi, Yaoliang Yu, Yang Cao
2024	A*	`conf`	Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation. IJCAI Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao
2024	J	`jnl`	PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms. CoRR Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa
2024	J	`jnl`	Phantom in the opera: adversarial music attack for robot dialogue system. Frontiers Comput. Sci. Sheng Li, Jiyi Li, Yang Cao
2024	A*	`conf`	PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CCS Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
2024	J	`jnl`	PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CoRR Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
2024	J	`jnl`	Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions. CoRR Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen
2024	A*	`conf`	TabularMark: Watermarking Tabular Datasets for Machine Learning. CCS Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong
2024	J	`jnl`	TabularMark: Watermarking Tabular Datasets for Machine Learning. CoRR Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong
2024	J	`jnl`	Tackling Data Heterogeneity in Federated Time Series Forecasting. CoRR Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc Viet Hung Nguyen, Yang Cao, Hongzhi Yin
2024	J	`jnl`	Uldp-FL: Federated Learning with Across Silo User-Level Differential Privacy. Proc. VLDB Endow. Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa
2023	J	`jnl`	CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers. CoRR Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
2023	B	`conf`	CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. MDM Minxing Zhang, Haowen Lin, Shun Takagi, Yang Cao, Cyrus Shahabi, Li Xiong
2023	J	`jnl`	DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. CoRR Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Yang Cao, Chun-Ying Huang
2023	B	`conf`	Differentially Private Streaming Data Release Under Temporal Correlations via Post-processing. DBSec Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa
2023	J	`jnl`	Differentially Private Streaming Data Release under Temporal Correlations via Post-processing. CoRR Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa
2023	J	`jnl`	Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. Proc. VLDB Endow. Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong
2023	A	`conf`	From Bounded to Unbounded: Privacy Amplification via Shuffling with Dummies. CSF Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2023	Misc	`conf`	General or Specific? Investigating Effective Privacy Protection in Federated Learning for Speech Emotion Recognition. ICASSP Chao Tan, Yang Cao, Sheng Li, Masatoshi Yoshikawa
2023	J	`jnl`	Geo-Graph-Indistinguishability: Location Privacy on Road Networks with Differential Privacy. IEICE Trans. Inf. Syst. Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa
2023	—	`conf`	GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System. MMAsia Xiaojiao Chen, Sheng Li, Jiyi Li, Yang Cao, Hao Huang, Liang He
2023	—	`conf`	Locally Private Streaming Data Release with Shuffling and Subsampling. ICDEW Xiaoyu Li, Yang Cao, Masatoshi Yoshikawa
2023	J	`jnl`	Mechanisms to Address Different Privacy Requirements for Users and Locations. IEICE Trans. Inf. Syst. Ryota Hiraishi, Masatoshi Yoshikawa, Yang Cao, Sumio Fujita, Hidehito Gomi
2023	J	`jnl`	Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification. Proc. VLDB Endow. Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2023	A*	`conf`	PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen
2023	—	`conf`	Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization. MMAsia Xiaojiao Chen, Sheng Li, Jiyi Li, Hao Huang, Yang Cao, Liang He
2023	J	`jnl`	Secure Shapley Value for Cross-Silo Federated Learning. Proc. VLDB Endow. Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
2023	—	`conf`	Supporting Pandemic Preparedness with Privacy Enhancing Technology. TPS-ISA Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong
2023	—	`conf`	Towards Benchmarking Privacy Risk for Differential Privacy: A Survey. BuildSys Dmitry Prokhorenkov, Yang Cao
2023	J	`jnl`	Towards Mobility Data Science (Vision Paper). CoRR Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi
2023	J	`jnl`	ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy. CoRR Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa
2022	B	`conf`	A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. IEEE Big Data Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa
2022	J	`jnl`	A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. CoRR Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa
2022	C	`conf`	An Accurate, Flexible and Private Trajectory-Based Contact Tracing System on Untrusted Servers. iiWAS Ruixuan Cao, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022	B	`conf`	Asymmetric Differential Privacy. IEEE Big Data Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022	B	`conf`	Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations. IEEE Big Data Xuyang Cao, Yang Cao, Masatoshi Yoshikawa, Atsuyoshi Nakamura
2022	B	`conf`	FL-Market: Trading Private Models in Federated Learning. IEEE Big Data Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Qiang Yan
2022	J	`jnl`	Graph Analysis in Decentralized Online Social Networks with Fine-Grained Privacy Protection. CoRR Lele Zheng, Bowen Deng, Tao Zhang, Yulong Shen, Yang Cao
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	J	`jnl`	Local Differential Privacy Image Generation Using Flow-based Deep Generative Models. CoRR Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe
2022	B	`conf`	Mitigating Privacy Vulnerability Caused by Map Asymmetry. DBSec Ryota Hiraishi, Masatoshi Yoshikawa, Shun Takagi, Yang Cao, Sumio Fujita, Hidehito Gomi
2022	J	`jnl`	Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi
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`	OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment. CoRR Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022	J	`jnl`	PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment. ACM Trans. Spatial Algorithms Syst. Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022	J	`jnl`	PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
2022	J	`jnl`	Secure Shapley Value for Cross-Silo Federated Learning. CoRR Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
2021	J	`jnl`	Asymmetric Differential Privacy. CoRR Shun Takagi, Yang Cao, Masatoshi Yoshikawa
2021	J	`jnl`	Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. Int. J. Medical Informatics Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas D. Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai W. Post, Li Xiong, Lucila Ohno-Machado
2021	A*	`conf`	FLAME: Differentially Private Federated Learning in the Shuffle Model. AAAI Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
2021	J	`jnl`	FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie
2021	J	`jnl`	Incentive Mechanism for Privacy-Preserving Federated Learning. CoRR Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
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	B	`conf`	Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism. DBSec Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2021	J	`jnl`	Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism. CoRR Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2021	—	`conf`	Privacy-Preserving Polynomial Evaluation over Spatio-Temporal Data on an Untrusted Cloud Server. DASFAA (1) Wei Song, Mengfei Tang, Qiben Yan, Yuan Shen, Yang Cao, Qian Wang, Zhiyong Peng
2021	J	`jnl`	Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. IEEE Trans. Knowl. Data Eng. Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa
2021	J	`jnl`	Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness. CoRR Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
2021	—	`conf`	Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. ICDE Workshops Shuaicheng Ma, Yang Cao, Li Xiong
2021	J	`jnl`	Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. CoRR Shuaicheng Ma, Yang Cao, Li Xiong
2021	J	`jnl`	Understanding the Interplay between Privacy and Robustness in Federated Learning. CoRR Yaowei Han, Yang Cao, Masatoshi Yoshikawa
2020	J	`jnl`	AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud. IEEE Access Caixia Yang, Liang Tan, Na Shi, Bolei Xu, Yang Cao, Keping Yu
2020	C	`conf`	Blockchain-Empowered Contact Tracing for COVID-19 Using Crypto-Spatiotemporal Information. HealthCom Zheng Wen, Keping Yu, Xin Qi, Toshio Sato, Yutaka Katsuyama, Takuro Sato, Wataru Kameyama, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa, Min Luo, Jun Hashimoto
2020	J	`jnl`	Customizable and Rigorous Location Privacy through Policy Graph. CoRR Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu
2020	—	`conf`	Dynamic Gas Estimation of Loops Using Machine Learning. BlockSys Chunmiao Li, Shijie Nie, Yang Cao, Yijun Yu, Zhenjiang Hu
2020	J	`jnl`	FLAME: Differentially Private Federated Learning in the Shuffle Model. CoRR Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
2020	—	`conf`	FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection. DASFAA (1) Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
2020	J	`jnl`	FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection. CoRR Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
2020	J	`jnl`	Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy. CoRR Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa
2020	B	`conf`	Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss. MDM Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
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	J	`jnl`	PANDA: Policy-aware Location Privacy for Epidemic Surveillance. CoRR Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa
2020	J	`jnl`	PANDA: Policy-aware Location Privacy for Epidemic Surveillance. Proc. VLDB Endow. Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa
2020	A*	`conf`	PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. USENIX Security Symposium Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong, Yang Cao
2020	J	`jnl`	PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment. CoRR Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2020	—	`conf`	PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. ESORICS (1) Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu
2020	A	`conf`	POSTER: Data Collection via Local Differential Privacy with Secret Parameters. AsiaCCS Shun Takagi, Yang Cao, Masatoshi Yoshikawa
2020	A	`conf`	POSTER: Protecting Location Privacy on Road Networks. AsiaCCS Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa
2020	A*	`conf`	Providing Input-Discriminative Protection for Local Differential Privacy. ICDE Xiaolan Gu, Ming Li, Li Xiong, Yang Cao
2020	J	`jnl`	Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps. CoRR Patrick Ocheja, Yang Cao, Shiyao Ding, Masatoshi Yoshikawa
2020	—	`conf`	Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. IEEE BigData Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2020	J	`jnl`	Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. CoRR Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2020	J	`jnl`	Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts. IEEE Open J. Comput. Soc. Chunmiao Li, Shijie Nie, Yang Cao, Yijun Yu, Zhenjiang Hu
2020	A*	`conf`	Voice-Indistinguishability - Protecting Voiceprint with Differential Privacy under an Untrusted Server. CCS Yaowei Han, Yang Cao, Sheng Li, Qiang Ma, Masatoshi Yoshikawa
2020	A	`conf`	Voice-Indistinguishability: Protecting Voiceprint In Privacy-Preserving Speech Data Release. ICME Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa
2020	J	`jnl`	Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release. CoRR Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa
2019	B	`conf`	"When and Where Do You Want to Hide?" - Recommendation of Location Privacy Preferences with Local Differential Privacy. DBSec Maho Asada, Masatoshi Yoshikawa, Yang Cao
2019	—	`conf`	Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data. ICDE Workshops Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa
2019	J	`jnl`	Blockchain-based Bidirectional Updates on Fine-grained Medical Data. CoRR Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa
2019	Misc	`conf`	Cross-Language Information Matching Technology Based on Term Extraction. ISKE Gang Liu, Sennan Zhang, Wangyang Liu, Yang Cao, Suyan Sun
2019	J	`jnl`	Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit. CoRR Shuaicheng Ma, Yang Cao, Li Xiong
2019	J	`jnl`	Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations". IEEE Trans. Knowl. Data Eng. Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
2019	B	`conf`	Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks. DBSec Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa
2019	J	`jnl`	Money Cannot Buy Everything: Trading Infinite Location Data Streams with Bounded Individual Privacy Loss. CoRR Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
2019	J	`jnl`	PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. CoRR Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong, Yang Cao
2019	A*	`conf`	PriSTE: From Location Privacy to Spatiotemporal Event Privacy. ICDE Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai
2019	J	`jnl`	PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. Proc. VLDB Endow. Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa
2019	J	`jnl`	Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. CoRR Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa
2019	J	`jnl`	Providing Input-Discriminative Protection for Local Differential Privacy. CoRR Xiaolan Gu, Ming Li, Li Xiong, Yang Cao
2019	J	`jnl`	Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations. IEEE Trans. Knowl. Data Eng. Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
2019	—	`conf`	Shared Word Embedding Space Modeling Method Based on Orthogonal Projection. ICVISP Gang Liu, Kai Wang, Wangyang Liu, Yang Cao, Guang Li
2019	—	`conf`	Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy. CNS Xiaolan Gu, Ming Li, Yang Cao, Li Xiong
2019	J	`jnl`	When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy. CoRR Maho Asada, Masatoshi Yoshikawa, Yang Cao
2018	J	`jnl`	ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release. Proc. VLDB Endow. Yang Cao, Li Xiong, Masatoshi Yoshikawa, Yonghui Xiao, Si Zhang
2018	J	`jnl`	PriSTE: From Location Privacy to Spatiotemporal Event Privacy. CoRR Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai
2017	—	`conf`	How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market. eCOM@SIGIR Rachana Nget, Yang Cao, Masatoshi Yoshikawa
2017	J	`jnl`	How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market. CoRR Rachana Nget, Yang Cao, Masatoshi Yoshikawa
2017	J	`jnl`	LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model. Proc. VLDB Endow. Yonghui Xiao, Li Xiong, Si Zhang, Yang Cao
2017	J	`jnl`	Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations. CoRR Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
2017	A*	`conf`	Quantifying Differential Privacy under Temporal Correlations. ICDE Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
2017	—	`—`	Rigorous and Flexible Privacy Protection Framework for Utilizing Personal Spatiotemporal Data. Yang Cao
2016	J	`jnl`	Differentially Private Real-Time Data Publishing over Infinite Trajectory Streams. IEICE Trans. Inf. Syst. Yang Cao, Masatoshi Yoshikawa
2016	J	`jnl`	Quantifying Differential Privacy under Temporal Correlations. CoRR Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
2016	—	`conf`	Rigorous and Flexible Privacy Models for Utilizing Personal Spatiotemporal Data. PhD@VLDB Yang Cao
2015	—	`conf`	Differentially Private Real-Time Data Release over Infinite Trajectory Streams. MDM (2) Yang Cao, Masatoshi Yoshikawa
2013	J	`jnl`	A User-Friendly Patent Search Paradigm. IEEE Trans. Knowl. Data Eng. Yang Cao, Ju Fan, Guoliang Li
2008	A*	`conf`	Enhancing text clustering by leveraging Wikipedia semantics. SIGIR Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua Li, Qiang Yang, Zheng Chen