Enhancing text clustering by leveraging Wikipedia semantics. - Jian Hu 001; Lujun Fang; Yang Cao 011; Hua-Jun Zeng; Hua Li 001; Qiang Yang 001; Zheng Chen 001 (SIGIR, 2008)

A User-Friendly Patent Search Paradigm. - Yang Cao 011; Ju Fan; Guoliang Li 001 (IEEE Trans. Knowl. Data Eng., 2013)

Differentially Private Real-Time Data Release over Infinite Trajectory Streams. - Yang Cao 011; Masatoshi Yoshikawa (MDM (2), 2015)

Rigorous and Flexible Privacy Models for Utilizing Personal Spatiotemporal Data. - Yang Cao 011 (PhD@VLDB, 2016)

Differentially Private Real-Time Data Publishing over Infinite Trajectory Streams. - Yang Cao 011; Masatoshi Yoshikawa (IEICE Trans. Inf. Syst., 2016)

Quantifying Differential Privacy under Temporal Correlations. - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (ICDE, 2017)

How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market. - Rachana Nget; Yang Cao 011; Masatoshi Yoshikawa (eCOM@SIGIR, 2017)

LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model. - Yonghui Xiao; Li Xiong 001; Si Zhang; Yang Cao 011 (Proc. VLDB Endow., 2017)

Rigorous and Flexible Privacy Protection Framework for Utilizing Personal Spatiotemporal Data. - Yang Cao 011 (2017)

ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release. - Yang Cao 011; Li Xiong 001; Masatoshi Yoshikawa; Yonghui Xiao; Si Zhang (Proc. VLDB Endow., 2018)

Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy. - Xiaolan Gu; Ming Li 003; Yang Cao 011; Li Xiong 001 (CNS, 2019)

"When and Where Do You Want to Hide?" - Recommendation of Location Privacy Preferences with Local Differential Privacy. - Maho Asada; Masatoshi Yoshikawa; Yang Cao 011 (DBSec, 2019)

Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks. - Shun Takagi; Yang Cao 011; Yasuhito Asano; Masatoshi Yoshikawa (DBSec, 2019)

PriSTE: From Location Privacy to Spatiotemporal Event Privacy. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai (ICDE, 2019)

Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data. - Chunmiao Li; Yang Cao 011; Zhenjiang Hu; Masatoshi Yoshikawa (ICDE Workshops, 2019)

Shared Word Embedding Space Modeling Method Based on Orthogonal Projection. - Gang Liu 021; Kai Wang; Wangyang Liu; Yang Cao 011; Guang Li (ICVISP, 2019)

Cross-Language Information Matching Technology Based on Term Extraction. - Gang Liu 021; Sennan Zhang; Wangyang Liu; Yang Cao 011; Suyan Sun (ISKE, 2019)

Money Cannot Buy Everything: Trading Infinite Location Data Streams with Bounded Individual Privacy Loss. - Shuyuan Zheng; Yang Cao 011; Masatoshi Yoshikawa (CoRR, 2019)

Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit. - Shuaicheng Ma; Yang Cao 011; Li Xiong 001 (CoRR, 2019)

PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai; Masatoshi Yoshikawa (Proc. VLDB Endow., 2019)

Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations. - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2019)

Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations". - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2019)

Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. - Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (IEEE BigData, 2020)

Dynamic Gas Estimation of Loops Using Machine Learning. - Chunmiao Li; Shijie Nie; Yang Cao 011; Yijun Yu; Zhenjiang Hu (BlockSys, 2020)

Voice-Indistinguishability - Protecting Voiceprint with Differential Privacy under an Untrusted Server. - Yaowei Han; Yang Cao 011; Sheng Li 010; Qiang Ma 001; Masatoshi Yoshikawa (CCS, 2020)

POSTER: Protecting Location Privacy on Road Networks. - Shun Takagi; Yang Cao 011; Yasuhito Asano; Masatoshi Yoshikawa (AsiaCCS, 2020)

POSTER: Data Collection via Local Differential Privacy with Secret Parameters. - Shun Takagi; Yang Cao 011; Masatoshi Yoshikawa (AsiaCCS, 2020)

FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection. - Ruixuan Liu; Yang Cao 011; Masatoshi Yoshikawa; Hong Chen 001 (DASFAA (1), 2020)

PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. - Yang Cao 011; Yonghui Xiao; Shun Takagi; Li Xiong 001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu (ESORICS (1), 2020)

Blockchain-Empowered Contact Tracing for COVID-19 Using Crypto-Spatiotemporal Information. - Zheng Wen 001; Keping Yu; Xin Qi 002; Toshio Sato; Yutaka Katsuyama; Takuro Sato; Wataru Kameyama; Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa; Min Luo; Jun Hashimoto (HealthCom, 2020)

Providing Input-Discriminative Protection for Local Differential Privacy. - Xiaolan Gu; Ming Li 003; Li Xiong 001; Yang Cao 011 (ICDE, 2020)

Voice-Indistinguishability: Protecting Voiceprint In Privacy-Preserving Speech Data Release. - Yaowei Han; Sheng Li 010; Yang Cao 011; Qiang Ma 001; Masatoshi Yoshikawa (ICME, 2020)

Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss. - Shuyuan Zheng; Yang Cao 011; Masatoshi Yoshikawa (MDM, 2020)

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. - Xiaolan Gu; Ming Li 003; Yueqiang Cheng; Li Xiong 001; Yang Cao 011 (USENIX Security Symposium, 2020)

AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud. - Caixia Yang; Liang Tan 001; Na Shi; Bolei Xu; Yang Cao 011; Keping Yu (IEEE Access, 2020)

Customizable and Rigorous Location Privacy through Policy Graph. - Yang Cao 011; Yonghui Xiao; Shun Takagi; Li Xiong 001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu (CoRR, 2020)

Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy. - Shun Takagi; Yang Cao 011; Yasuhito Asano; Masatoshi Yoshikawa (CoRR, 2020)

Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps. - Patrick Ocheja; Yang Cao 011; Shiyao Ding; Masatoshi Yoshikawa (CoRR, 2020)

Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts. - Chunmiao Li; Shijie Nie; Yang Cao 011; Yijun Yu; Zhenjiang Hu (IEEE Open J. Comput. Soc., 2020)

PANDA: Policy-aware Location Privacy for Epidemic Surveillance. - Yang Cao 011; Shun Takagi; Yonghui Xiao; Li Xiong 001; Masatoshi Yoshikawa (Proc. VLDB Endow., 2020)

FLAME: Differentially Private Federated Learning in the Shuffle Model. - Ruixuan Liu; Yang Cao 011; Hong Chen 001; Ruoyang Guo; Masatoshi Yoshikawa (AAAI, 2021)

Privacy-Preserving Polynomial Evaluation over Spatio-Temporal Data on an Untrusted Cloud Server. - Wei Song 006; Mengfei Tang; Qiben Yan; Yuan Shen 005; Yang Cao 011; Qian Wang 002; Zhiyong Peng 001 (DASFAA (1), 2021)

Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism. - Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (DBSec, 2021)

Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. - Shuaicheng Ma; Yang Cao 011; Li Xiong 001 (ICDE Workshops, 2021)

P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. - Shun Takagi; Tsubasa Takahashi 001; Yang Cao 011; Masatoshi Yoshikawa (ICDE, 2021)

FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. - Chuhan Wu; Fangzhao Wu; Yang Cao 011; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2021)

Asymmetric Differential Privacy. - Shun Takagi; Yang Cao 011; Masatoshi Yoshikawa (CoRR, 2021)

Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness. - Shuyuan Zheng; Yang Cao 011; Masatoshi Yoshikawa (CoRR, 2021)

Incentive Mechanism for Privacy-Preserving Federated Learning. - Shuyuan Zheng; Yang Cao 011; Masatoshi Yoshikawa (CoRR, 2021)

Understanding the Interplay between Privacy and Robustness in Federated Learning. - Yaowei Han; Yang Cao 011; Masatoshi Yoshikawa (CoRR, 2021)

Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. - Tsung-Ting Kuo; Tyler Bath; Shuaicheng Ma; Nicholas D. Pattengale; Meng Yang; Yang Cao 011; Corey M. Hudson; Jihoon Kim 001; Kai W. Post; Li Xiong 001; Lucila Ohno-Machado (Int. J. Medical Informatics, 2021)

Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai; Masatoshi Yoshikawa (IEEE Trans. Knowl. Data Eng., 2021)

Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations. - Xuyang Cao; Yang Cao 011; Masatoshi Yoshikawa; Atsuyoshi Nakamura (IEEE Big Data, 2022)

A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. - Shang Liu 001; Yang Cao 011; Takao Murakami; Masatoshi Yoshikawa (IEEE Big Data, 2022)

Asymmetric Differential Privacy. - Shun Takagi; Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (IEEE Big Data, 2022)

FL-Market: Trading Private Models in Federated Learning. - Shuyuan Zheng; Yang Cao 011; Masatoshi Yoshikawa; Huizhong Li; Qiang Yan 001 (IEEE Big Data, 2022)

Mitigating Privacy Vulnerability Caused by Map Asymmetry. - Ryota Hiraishi; Masatoshi Yoshikawa; Shun Takagi; Yang Cao 011; Sumio Fujita; Hidehito Gomi (DBSec, 2022)

An Accurate, Flexible and Private Trajectory-Based Contact Tracing System on Untrusted Servers. - Ruixuan Cao; Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (iiWAS, 2022)

Network Shuffling: Privacy Amplification via Random Walks. - Seng Pei Liew; Tsubasa Takahashi 001; Shun Takagi; Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (SIGMOD Conference, 2022)

OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment. - Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (CoRR, 2022)

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. - Ruixuan Liu; Fangzhao Wu; Chuhan Wu; Yanlin Wang 001; Yang Cao 011; Lingjuan Lyu; Weike Pan; Yun Chen 007; Hong Chen 001; Xing Xie 001 (CoRR, 2022)

Local Differential Privacy Image Generation Using Flow-based Deep Generative Models. - Hisaichi Shibata; Shouhei Hanaoka; Yang Cao 011; Masatoshi Yoshikawa; Tomomi Takenaga; Yukihiro Nomura; Naoto Hayashi; Osamu Abe (CoRR, 2022)

Mobility Data Science (Dagstuhl Seminar 22021). - Mohamed F. Mokbel; Mahmoud Attia Sakr; Li Xiong 001; Andreas Züfle; Jussara M. Almeida; Taylor Anderson 001; Walid G. Aref; Gennady L. Andrienko; Natalia V. Andrienko; Yang Cao 011; Sanjay Chawla; Reynold Cheng; et al. (Dagstuhl Reports, 2022)

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. - Fumiyuki Kato; Tsubasa Takahashi 001; Shun Takagi; Yang Cao 011; Seng Pei Liew; Masatoshi Yoshikawa (Proc. VLDB Endow., 2022)

PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment. - Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (ACM Trans. Spatial Algorithms Syst., 2022)

From Bounded to Unbounded: Privacy Amplification via Shuffling with Dummies. - Shun Takagi; Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (CSF, 2023)

Differentially Private Streaming Data Release Under Temporal Correlations via Post-processing. - Xuyang Cao; Yang Cao 011; Primal Pappachan; Atsuyoshi Nakamura; Masatoshi Yoshikawa (DBSec, 2023)

General or Specific? Investigating Effective Privacy Protection in Federated Learning for Speech Emotion Recognition. - Chao Tan; Yang Cao 011; Sheng Li 010; Masatoshi Yoshikawa (ICASSP, 2023)

Locally Private Streaming Data Release with Shuffling and Subsampling. - Xiaoyu Li; Yang Cao 011; Masatoshi Yoshikawa (ICDEW, 2023)

PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. - Ruixuan Liu; Yang Cao 011; Yanlin Wang 001; Lingjuan Lyu; Yun Chen 007; Hong Chen 001 (KDD, 2023)

CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. - Minxing Zhang; Haowen Lin; Shun Takagi; Yang Cao 011; Cyrus Shahabi; Li Xiong 001 (MDM, 2023)

Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization. - Xiaojiao Chen; Sheng Li 010; Jiyi Li; Hao Huang 009; Yang Cao 011; Liang He 003 (MMAsia, 2023)

GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System. - Xiaojiao Chen; Sheng Li 010; Jiyi Li; Yang Cao 011; Hao Huang 009; Liang He 003 (MMAsia, 2023)

Towards Benchmarking Privacy Risk for Differential Privacy: A Survey. - Dmitry Prokhorenkov; Yang Cao 011 (BuildSys, 2023)

Supporting Pandemic Preparedness with Privacy Enhancing Technology. - Ruixuan Liu; Sepanta Zeighami; Haowen Lin; Cyrus Shahabi; Yang Cao 011; Shun Takagi; Yoko Konishi; Masatoshi Yoshikawa; Li Xiong 001 (TPS-ISA, 2023)

Towards Mobility Data Science (Vision Paper). - Mohamed F. Mokbel; Mahmoud Attia Sakr; Li Xiong 001; Andreas Züfle; Jussara M. Almeida; Taylor Anderson 001; Walid G. Aref; Gennady L. Andrienko; Natalia V. Andrienko; Yang Cao 011; Sanjay Chawla; Reynold Cheng; et al. (CoRR, 2023)

Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification. - Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (Proc. VLDB Endow., 2023)

Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. - Haocheng Xia; Jinfei Liu; Jian Lou 001; Zhan Qin; Kui Ren 001; Yang Cao 011; Li Xiong 001 (Proc. VLDB Endow., 2023)

Secure Shapley Value for Cross-Silo Federated Learning. - Shuyuan Zheng; Yang Cao 011; Masatoshi Yoshikawa (Proc. VLDB Endow., 2023)

Geo-Graph-Indistinguishability: Location Privacy on Road Networks with Differential Privacy. - Shun Takagi; Yang Cao 011; Yasuhito Asano; Masatoshi Yoshikawa (IEICE Trans. Inf. Syst., 2023)

Mechanisms to Address Different Privacy Requirements for Users and Locations. - Ryota Hiraishi; Masatoshi Yoshikawa; Yang Cao 011; Sumio Fujita; Hidehito Gomi (IEICE Trans. Inf. Syst., 2023)

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. - Ruixuan Liu; Tianhao Wang 001; Yang Cao 011; Li Xiong 001 (CCS, 2024)

TabularMark: Watermarking Tabular Datasets for Machine Learning. - Yihao Zheng; Haocheng Xia; Junyuan Pang; Jinfei Liu; Kui Ren 001; Lingyang Chu; Yang Cao 011; Li Xiong 001 (CCS, 2024)

Automatic Post-editing of Speech Recognition System Output Using Large Language Models. - Sheng Li 010; Jiyi Li; Yang Cao 011 (DASFAA (Workshops), 2024)

Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. - Lele Zheng; Yang Cao 011; Renhe Jiang; Kenjiro Taura; Yulong Shen; Sheng Li 010; Masatoshi Yoshikawa (DASFAA (1), 2024)

CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. - Shang Liu 001; Yang Cao 011; Takao Murakami; Jinfei Liu; Masatoshi Yoshikawa (ICDE, 2024)

Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. - Saber Malekmohammadi; Yaoliang Yu; Yang Cao 011 (ICML, 2024)

Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation. - Wei Wang 335; Hanyang Li; Ke Shi; Chao Huang 008; Yang Cao 011; Cong Wang 018; Xiaochun Cao (IJCAI, 2024)

Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition. - Chao Tan; Sheng Li 010; Yang Cao 011; Zhao Ren; Tanja Schultz (MMAsia, 2024)

Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. - Bo Yan 005; Yang Cao 011; Haoyu Wang; Wenchuan Yang; Junping Du 001; Chuan Shi 001 (WWW, 2024)

Federated Graph Analytics with Differential Privacy. - Shang Liu 001; Yang Cao 011; Takao Murakami; Weiran Liu; Seng Pei Liew; Tsubasa Takahashi 001; Jinfei Liu; Masatoshi Yoshikawa (CoRR, 2024)

Extracting Spatiotemporal Data from Gradients with Large Language Models. - Lele Zheng; Yang Cao 011; Renhe Jiang; Kenjiro Taura; Yulong Shen; Sheng Li 010; Masatoshi Yoshikawa (CoRR, 2024)

A Survey on Data Markets. - Jiayao Zhang 006; Yuran Bi; Mengye Cheng; Jinfei Liu; Kui Ren 001; Qiheng Sun; Yihang Wu; Yang Cao 011; Raul Castro Fernandez; Haifeng Xu; Ruoxi Jia 001; Yongchan Kwon; et al. (CoRR, 2024)

Tackling Data Heterogeneity in Federated Time Series Forecasting. - Wei Yuan 003; Guanhua Ye; Xiangyu Zhao 001; Quoc Viet Hung Nguyen; Yang Cao 011; Hongzhi Yin (CoRR, 2024)

Phantom in the opera: adversarial music attack for robot dialogue system. - Sheng Li 010; Jiyi Li; Yang Cao 011 (Frontiers Comput. Sci., 2024)

Differentially private trajectory event streams publishing under data dependence constraints. - Yuan Shen 005; Wei Song 006; Yang Cao 011; Zechen Liu; Zhe Wei; Zhiyong Peng 001 (Inf. Sci., 2024)

Mobility Data Science: Perspectives and Challenges. - Mohamed F. Mokbel; Mahmoud Attia Sakr; Li Xiong 001; Andreas Züfle; Jussara M. Almeida; Taylor Anderson 001; Walid G. Aref; Gennady L. Andrienko; Natalia V. Andrienko; Yang Cao 011; Sanjay Chawla; Reynold Cheng; et al. (ACM Trans. Spatial Algorithms Syst., 2024)

Uldp-FL: Federated Learning with Across Silo User-Level Differential Privacy. - Fumiyuki Kato; Li Xiong 001; Shun Takagi; Yang Cao 011; Masatoshi Yoshikawa (Proc. VLDB Endow., 2024)

HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization. - Shun Takagi; Li Xiong 001; Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (Proc. VLDB Endow., 2024)

Front Matter. - Meihui Zhang 001; Cyrus Shahabi; Ju Fan; Yang Cao 011; Xiaoou Ding; Divesh Srivastava; Nesime Tatbul; Sihem Amer-Yahia; Yongxin Tong; Yuncheng Wu; Li Xiong 001; Torsten Grust; et al. (Proc. VLDB Endow., 2024)

Federated Graph Condensation with Information Bottleneck Principles. - Bo Yan 005; Sihao He; Cheng Yang 002; Shang Liu 001; Yang Cao 011; Chuan Shi 001 (AAAI, 2025)

Bargaining-Based Data Markets. - Yuran Bi; Jinfei Liu; Kui Ren 001; Yihang Wu; Yang Cao 011 (ICDE, 2025)

PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms. - Shang Liu 001; Hao Du; Yang Cao 011; Bo Yan 005; Jinfei Liu; Masatoshi Yoshikawa (ICDE, 2025)

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. - Jingyuan Zhang; Yiyang Duan; Shuaicheng Niu; Yang Cao 011; Wei Yang Bryan Lim (ICLR, 2025)

Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions. - Hao Du; Shang Liu 001; Lele Zheng; Yang Cao 011; Atsuyoshi Nakamura; Lei Chen (PAKDD (4), 2025)

Data Overvaluation Attack and Truthful Data Valuation. - Shuyuan Zheng; Sudong Cai; Chuan Xiao 001; Yang Cao 011; Jianbin Qin; Masatoshi Yoshikawa; Makoto Onizuka (CoRR, 2025)

Data-centric Federated Graph Learning with Large Language Models. - Bo Yan 005; Zhongjian Zhang; Huabin Sun; Mengmei Zhang; Yang Cao 011; Chuan Shi 001 (CoRR, 2025)

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. - Chih-Hsun Lin; Chia-Yi Hsu; Chia-Mu Yu; Yang Cao 011; Chun-Ying Huang (IEEE Internet Things J., 2025)

Anti-Fake Vaccine: Safeguarding Privacy Against Face Swapping via Visual-Semantic Dual Degradation. - Jingzhi Li 002; Changjiang Luo; Hua Zhang 008; Yang Cao 011; Xin Liao; Xiaochun Cao (Int. J. Comput. Vis., 2025)

Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning. - Fuyao Zhang; Wenjie Li 008; Yurong Hao; Xinyu Yan; Yang Cao 011; Wei Yang Bryan Lim (CoRR, 2025)

Phantom Subgroup Poisoning: Stealth Attacks on Federated Recommender Systems. - Bo Yan 005; Yurong Hao; Dingqi Liu; Huabin Sun; Pengpeng Qiao; Wei Yang Bryan Lim; Yang Cao 011; Chuan Shi 001 (CoRR, 2025)

Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. - Fuyao Zhang; Xinyu Yan; Tiantong Wu; Wenjie Li 008; Tianxiang Chen; Yang Cao 011; Ran Yan; Longtao Huang; Wei Yang Bryan Lim; Qiang Yang 001 (CoRR, 2025)