On Testing Satisfiability of Tree Pattern Queries. - Laks V. S. Lakshmanan; Ganesh Ramesh; Wendy Hui Wang; Zheng (Jessica) Zhao (VLDB, 2004)

Answering Tree Pattern Queries Using Views. - Laks V. S. Lakshmanan; Wendy Hui Wang; Zheng (Jessica) Zhao (VLDB, 2006)

Efficient Secure Query Evaluation over Encrypted XML Databases. - Wendy Hui Wang; Laks V. S. Lakshmanan (VLDB, 2006)

Probabilistic privacy analysis of published views. - Wendy Hui Wang; Laks V. S. Lakshmanan (WPES, 2006)

The Threshold Algorithm: From Middleware Systems to the Relational Engine. - Nicolas Bruno; Wendy Hui Wang (IEEE Trans. Knowl. Data Eng., 2007)

Optimizing Tree Pattern Queries over Secure XML Databases. - Wendy Hui Wang; Divesh Srivastava; Laks V. S. Lakshmanan; SungRan Cho; Sihem Amer-Yahia (Secure Data Management in Decentralized Systems, 2007)

Ambiguity: Hide the Presence of Individuals and Their Privacy with Low Information Loss. - Wendy Hui Wang (COMAD, 2008)

Answering XML queries using materialized views revisited. - Xiaoying Wu; Dimitri Theodoratos; Wendy Hui Wang (CIKM, 2009)

Integrity Verification of Outsourced XML Databases. - Ruilin Liu; Wendy Hui Wang (CSE (3), 2009)

Hiding distinguished ones into crowd: privacy-preserving publishing data with outliers. - Wendy Hui Wang; Ruilin Liu (EDBT, 2009)

Anonymizing moving objects: how to hide a MOB in a crowd? - Roman Yarovoy; Francesco Bonchi; Laks V. S. Lakshmanan; Wendy Hui Wang (EDBT, 2009)

Towards publishing recommendation data with predictive anonymization. - Chih-Cheng Chang; Brian Thompson; Wendy Hui Wang; Danfeng Yao (AsiaCCS, 2010)

SPac: a distributed, peer-to-peer, secure and privacy-aware social space. - Angela Bonifati; Wendy Hui Wang; Ruilin Liu (CIKM, 2010)

Privacy-Preserving Publishing Data with Full Functional Dependencies. - Wendy Hui Wang; Ruilin Liu (DASFAA (2), 2010)

Distributed and Secure Access Control in P2P Databases. - Angela Bonifati; Ruilin Liu; Wendy Hui Wang (DBSec, 2010)

Ensuring Data Storage Security against Frequency-Based Attacks in Wireless Networks. - Hongbo Liu 002; Wendy Hui Wang; Yingying Chen 001 (DCOSS, 2010)

Privacy-preserving data publishing. - Ruilin Liu; Wendy Hui Wang (ICDE Workshops, 2010)

A decentralized key management scheme via neighborhood prediction in mobile wireless networks. - Xiuyuan Zheng; Wendy Hui Wang; Yingying Chen 001; Hongbo Liu 002; Ruilin Liu (MASS, 2010)

A Reinforcement Learning Based Framework for Prediction of Near Likely Nodes in Data-Centric Mobile Wireless Networks. - Yingying Chen 001; Wendy Hui Wang; Xiuyuan Zheng; Jie Yang 003 (EURASIP J. Wirel. Commun. Netw., 2010)

Privacy-Preserving Data Sharing in Cloud Computing. - Wendy Hui Wang (J. Comput. Sci. Technol., 2010)

Privacy-Preserving Data Mining from Outsourced Databases. - Fosca Giannotti; Laks V. S. Lakshmanan; Anna Monreale; Dino Pedreschi; Wendy Hui Wang (Computers, Privacy and Data Protection, 2011)

Efficient Storage and Temporal Query Evaluation in Hierarchical Data Archiving Systems. - Wendy Hui Wang; Ruilin Liu; Dimitri Theodoratos; Xiaoying Wu (SSDBM, 2011)

Semantics-Enhanced Privacy Recommendation for Social Networking Sites. - Qingrui Li; Juan Li 004; Hui Wang 013; Ashok Ginjala (TrustCom, 2011)

Privacy-preserving publishing microdata with full functional dependencies. - Wendy Hui Wang; Ruilin Liu (Data Knowl. Eng., 2011)

Trajectory anonymity in publishing personal mobility data. - Francesco Bonchi; Laks V. S. Lakshmanan; Wendy Hui Wang (SIGKDD Explor., 2011)

Metadata-guided evaluation of resource-constrained queries in content caching based wireless networks. - Ruilin Liu; Xiuyuan Zheng; Hongbo Liu 002; Wendy Hui Wang; Yingying Chen 001 (Wirel. Networks, 2011)

Integrity verification of cloud-hosted data analytics computations. - Wendy Hui Wang (Cloud-I, 2012)

Understanding Data Completeness in Network Monitoring Systems. - Flip Korn; Ruilin Liu; Wendy Hui Wang (ICDM, 2012)

AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems. - Ruilin Liu; Wendy Hui Wang; Anna Monreale; Dino Pedreschi; Fosca Giannotti; Wenge Guo (ECML/PKDD (2), 2012)

A Semantics-based Approach to Large-Scale Mobile Social Networking. - Juan Li 004; Hui Wang 013; Samee Ullah Khan (Mob. Networks Appl., 2012)

Privacy-Preserving Distributed Movement Data Aggregation. - Anna Monreale; Wendy Hui Wang; Francesca Pratesi; Salvatore Rinzivillo; Dino Pedreschi; Gennady L. Andrienko; Natalia V. Andrienko (AGILE Conf., 2013)

Result Integrity Verification of Outsourced Frequent Itemset Mining. - Boxiang Dong; Ruilin Liu; Wendy Hui Wang (DBSec, 2013)

Integrity Verification of Outsourced Frequent Itemset Mining with Deterministic Guarantee. - Boxiang Dong; Ruilin Liu; Wendy Hui Wang (ICDM, 2013)

Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers. - Ruilin Liu; Philippos Mordohai; Wendy Hui Wang; Hui Xiong 001 (SDM, 2013)

Privacy-Aware Distributed Mobility Data Analytics. - Francesca Pratesi; Anna Monreale; Hui Wang 013; Salvatore Rinzivillo; Dino Pedreschi; Gennady L. Andrienko; Natalia V. Andrienko (SEBD, 2013)

Optimizing XML queries: Bitmapped materialized views vs. indexes. - Xiaoying Wu; Dimitri Theodoratos; Wendy Hui Wang; Timos K. Sellis (Inf. Syst., 2013)

Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases. - Fosca Giannotti; Laks V. S. Lakshmanan; Anna Monreale; Dino Pedreschi; Wendy Hui Wang (IEEE Syst. J., 2013)

A Fully Distributed Scheme for Discovery of Semantic Relationships. - Juan Li 004; Hui Wang 013; Samee Ullah Khan; Qingrui Li; Albert Y. Zomaya (IEEE Trans. Serv. Comput., 2013)

Neighborhood prediction based decentralized key management for mobile wireless networks. - Xiuyuan Zheng; Yingying Chen 001; Hui Wang 013; Hongbo Liu 002; Ruilin Liu (Wirel. Networks, 2013)

PraDa: Privacy-preserving Data-Deduplication-as-a-Service. - Boxiang Dong; Ruilin Liu; Wendy Hui Wang (CIKM, 2014)

iCoDA: Interactive and exploratory data completeness analysis. - Ruilin Liu; Guan Wang; Wendy Hui Wang; Flip Korn (ICDE, 2014)

Result Integrity Verification of Outsourced Bayesian Network Structure Learning. - Ruilin Liu; Wendy Hui Wang; Changhe Yuan (SDM, 2014)

Defending against Frequency-Based Attacks on Distributed Data Storage in Wireless Networks. - Hongbo Liu 002; Hui Wang 013; Yingying Chen 001; Dayong Jia (ACM Trans. Sens. Networks, 2014)

Result Integrity Verification of Outsourced Privacy-preserving Frequent Itemset Mining. - Ruilin Liu; Wendy Hui Wang (SDM, 2015)

Hiding outliers into crowd: Privacy-preserving data publishing with outliers. - Wendy Hui Wang; Ruilin Liu (Data Knowl. Eng., 2015)

Similarity Recoverable, Format-Preserving String Encryption. - Yijin Li; Wendy Hui Wang (APWeb (2), 2016)

Secure Data Outsourcing with Adversarial Data Dependency Constraints. - Boxiang Dong; Wendy Hui Wang; Jie Yang 003 (BigDataSecurity/HPSC/IDS, 2016)

Privacy-Preserving Outsourcing of Data Mining. - Anna Monreale; Wendy Hui Wang (COMPSAC Workshops, 2016)

ARM: Authenticated Approximate Record Matching for Outsourced Databases. - Boxiang Dong; Wendy Hui Wang (IRI, 2016)

GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems. - Boxiang Dong; Zhengzhang Chen; Hui Wang 013; Lu-An Tang; Kai Zhang 001; Ying Lin; Haifeng Chen; Guofei Jiang (CoRR, 2016)

Efficient Authentication of Outsourced String Similarity Search. - Boxiang Dong; Hui Wang 013 (CoRR, 2016)

Trust-but-Verify: Verifying Result Correctness of Outsourced Frequent Itemset Mining in Data-Mining-As-a-Service Paradigm. - Boxiang Dong; Ruilin Liu; Wendy Hui Wang (IEEE Trans. Serv. Comput., 2016)

Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. - Boxiang Dong; Zhengzhang Chen; Wendy Hui Wang; Lu-An Tang; Kai Zhang 001; Ying Lin; Zhichun Li; Haifeng Chen (CIKM, 2017)

Budget-Constrained Result Integrity Verification of Outsourced Data Mining Computations. - Bo Zhang 051; Boxiang Dong; Wendy Hui Wang (DBSec, 2017)

Pairwise Ranking Aggregation by Non-interactive Crowdsourcing with Budget Constraints. - Changjiang Cai; Haipei Sun; Boxiang Dong; Bo Zhang 051; Ting Wang 006; Hui Wang 013 (ICDCS, 2017)

Private, Yet Practical, Multiparty Deep Learning. - Xinyang Zhang 001; Shouling Ji; Hui Wang 013; Ting Wang 006 (ICDCS, 2017)

Frequency-Hiding Dependency-Preserving Encryption for Outsourced Databases. - Boxiang Dong; Wendy Hui Wang (ICDE, 2017)

EARRING: Efficient Authentication of Outsourced Record Matching. - Boxiang Dong; Wendy Hui Wang (IRI, 2017)

Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy. - Haipei Sun; Boxiang Dong; Wendy Hui Wang; Ting Yu 001; Zhan Qin (IEEE BigData, 2018)

Sensitive Task Assignments in Crowdsourcing Markets with Colluding Workers. - Haipei Sun; Boxiang Dong; Bo Zhang 051; Wendy Hui Wang; Murat Kantarcioglu (ICDE, 2018)

AssureMR: Verifiable SQL Execution on MapReduce. - Bo Zhang 051; Boxiang Dong; Wendy Hui Wang (ICDE, 2018)

Secure partial encryption with adversarial functional dependency constraints in the database-as-a-service model. - Boxiang Dong; Wendy Hui Wang (Data Knowl. Eng., 2018)

Cost-efficient Data Acquisition on Online Data Marketplaces for Correlation Analysis. - Yanying Li; Haipei Sun; Boxiang Dong; Wendy Hui Wang (Proc. VLDB Endow., 2018)

Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy. - Haipei Sun; Xiaokui Xiao; Issa Khalil; Yin Yang 001; Zhan Qin; Wendy Hui Wang; Ting Yu 001 (CCS, 2019)

AuthPDB: Authentication of Probabilistic Queries on Outsourced Uncertain Data. - Bo Zhang 051; Boxiang Dong; Haipei Sun; Wendy Hui Wang (CODASPY, 2020)

Towards Fair Truth Discovery from Biased Crowdsourced Answers. - Yanying Li; Haipei Sun; Wendy Hui Wang (KDD, 2020)

Fairness of Classification Using Users' Social Relationships in Online Peer-To-Peer Lending. - Yanying Li; Yue Ning 001; Rong Liu; Ying Wu; Wendy Hui Wang (WWW (Companion Volume), 2020)

Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack. - Bo Zhang 051; Ruotong Yu; Haipei Sun; Yanying Li; Jun Xu 024; Hui Wang 013 (CoRR, 2020)

Authenticated Outlier Mining for Outsourced Databases. - Boxiang Dong; Hui Wang 013; Anna Monreale; Dino Pedreschi; Fosca Giannotti; Wenge Guo (IEEE Trans. Dependable Secur. Comput., 2020)

PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks. - Junjie Chen 004; Wendy Hui Wang; Hongchang Gao; Xinghua Shi (KDD, 2021)

VeriDL: Integrity Verification of Outsourced Deep Learning Services. - Boxiang Dong; Bo Zhang 051; Wendy Hui Wang (ECML/PKDD (2), 2021)

Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data. - Junjie Chen 004; Wendy Hui Wang; Xinghua Shi (PSB, 2021)

CADUE: Content-Agnostic Detection of Unwanted Emails for Enterprise Security. - Mohamed Nabeel; Enes Altinisik; Haipei Sun; Issa Khalil; Wendy Hui Wang; Ting Yu 001 (RAID, 2021)

Automating Fairness Configurations for Machine Learning. - Haipei Sun; Yiding Yang; Yanying Li; Huihui Liu; Xinchao Wang; Wendy Hui Wang (WWW (Companion Volume), 2021)

Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss. - Boxiang Dong; Wendy Hui Wang; Aparna S. Varde; Dawei Li 002; Bharath K. Samanthula; Weifeng Sun; Liang Zhao (CoRR, 2021)

VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version). - Boxiang Dong; Bo Zhang 051; Wendy Hui Wang (CoRR, 2021)

Anomalous Event Sequence Detection. - Boxiang Dong; Zhengzhang Chen; Lu-An Tang; Haifeng Chen; Hui Wang 013; Kai Zhang 001; Ying Lin; Zhichun Li (IEEE Intell. Syst., 2021)

CorrectMR: Authentication of Distributed SQL Execution on MapReduce. - Bo Zhang 051; Boxiang Dong; Wendy Hui Wang (IEEE Trans. Knowl. Data Eng., 2021)

Integrity Authentication for SQL Query Evaluation on Outsourced Databases: A Survey. - Bo Zhang 051; Boxiang Dong; Wendy Hui Wang (IEEE Trans. Knowl. Data Eng., 2021)

Understanding Disparate Effects of Membership Inference Attacks and their Countermeasures. - Da Zhong 001; Haipei Sun; Jun Xu 024; Neil Zhenqiang Gong; Wendy Hui Wang (AsiaCCS, 2022)

Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding. - Kun Wu 011; Jacob Erickson; Wendy Hui Wang; Yue Ning 001 (ASONAM, 2022)

Group Property Inference Attacks Against Graph Neural Networks. - Xiuling Wang; Wendy Hui Wang (CCS, 2022)

Towards Fair and Robust Classification. - Haipei Sun; Kun Wu 011; Ting Wang 006; Wendy Hui Wang (EuroS&P, 2022)

Providing Item-side Individual Fairness for Deep Recommender Systems. - Xiuling Wang; Wendy Hui Wang (FAccT, 2022)

FairLP: Towards Fair Link Prediction on Social Network Graphs. - Yanying Li; Xiuling Wang; Yue Ning 001; Hui Wang 013 (ICWSM, 2022)

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. - Zhuo Zhang 007; Xiangjing Hu; Jingyuan Zhang; Yating Zhang; Hui Wang 013; Lizhen Qu; Zenglin Xu (ACL (1), 2023)

Link Membership Inference Attacks against Unsupervised Graph Representation Learning. - Xiuling Wang; Wendy Hui Wang (ACSAC, 2023)

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness. - Nan Cui; Xiuling Wang; Wendy Hui Wang; Violet Chen; Yue Ning 001 (ICDM, 2023)

Certified Edge Unlearning for Graph Neural Networks. - Kun Wu 011; Jie Shen 005; Yue Ning 001; Ting Wang 006; Wendy Hui Wang (KDD, 2023)

Practical privacy-preserving Gaussian process regression via secret sharing. - Jinglong Luo; Yehong Zhang; Jiaqi Zhang; Shuang Qin; Hui Wang 013; Yue Yu 001; Zenglin Xu (UAI, 2023)

Personalized Federated Learning via Amortized Bayesian Meta-Learning. - Shiyu Liu; Shaogao Lv; Dun Zeng; Zenglin Xu; Hui Wang 013; Yue Yu 001 (CoRR, 2023)

FedLab: A Flexible Federated Learning Framework. - Dun Zeng; Siqi Liang 001; Xiangjing Hu; Hui Wang 013; Zenglin Xu (J. Mach. Learn. Res., 2023)

Disparate Vulnerability in Link Inference Attacks against Graph Neural Networks. - Da Zhong 001; Ruotong Yu; Kun Wu 011; Xiuling Wang; Jun Xu 024; Wendy Hui Wang (Proc. Priv. Enhancing Technol., 2023)

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks. - Junjie Chen 004; Jiahao Li; Chen Song; Bin Li; Qingcai Chen; Hongchang Gao; Wendy Hui Wang; Zenglin Xu; Xinghua Shi (AAAI, 2024)

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. - Jinglong Luo; Yehong Zhang; Zhuo Zhang 007; Jiaqi Zhang; Xin Mu; Hui Wang 013; Yue Yu 001; Zenglin Xu (ACL (Findings), 2024)

Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution. - Da Zhong 001; Xiuling Wang; Zhichao Xu 001; Jun Xu 024; Wendy Hui Wang (CIKM, 2024)

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. - Zhuo Zhang 007; Jintao Huang; Xiangjing Hu; Jingyuan Zhang; Yating Zhang; Hui Wang 013; Yue Yu 001; Qifan Wang 001; Lizhen Qu; Zenglin Xu (LREC/COLING, 2024)

Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy. - Shiyu Liu; Wei Shi; Zenglin Xu; Shaogao Lv; Yehong Zhang; Hui Wang 013 (IJCAI, 2024)

Revisiting Black-box Ownership Verification for Graph Neural Networks. - Ruikai Zhou; Kang Yang; Xiuling Wang; Wendy Hui Wang; Jun Xu 024 (SP, 2024)

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. - Jinglong Luo; Yehong Zhang; Jiaqi Zhang; Xin Mu; Hui Wang 013; Yue Yu 001; Zenglin Xu (CoRR, 2024)

Differentially Private Federated Learning: A Systematic Review. - Jie Fu 003; Yuan Hong 001; Xinpeng Ling; Leixia Wang; Xun Ran; Zhiyu Sun; Wendy Hui Wang; Zhili Chen; Yang Cao (CoRR, 2024)

Efficient privacy-preserving Gaussian process via secure multi-party computation. - Shiyu Liu; Jinglong Luo; Yehong Zhang; Hui Wang 013; Yue Yu 001; Zenglin Xu (J. Syst. Archit., 2024)

GCL-Leak: Link Membership Inference Attacks against Graph Contrastive Learning. - Xiuling Wang; Wendy Hui Wang (Proc. Priv. Enhancing Technol., 2024)

Subgraph Structure Membership Inference Attacks against Graph Neural Networks. - Xiuling Wang; Wendy Hui Wang (Proc. Priv. Enhancing Technol., 2024)

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. - Jinglong Luo; Guanzhong Chen; Yehong Zhang; Shiyu Liu; Hui Wang 013; Yue Yu 001; Xun Zhou 001; Yuan Qi 001; Zenglin Xu (ACL (1), 2025)

From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. - Zhuo Zhang 007; Yukun Zhang; Guanzhong Chen; Lizhen Qu; Xun Zhou 001; Hui Wang 013; Zenglin Xu (Neurocomputing, 2025)

Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. - Nima Naderloui; Shenao Yan; Binghui Wang; Jie Fu 003; Wendy Hui Wang; Weiran Liu; Yuan Hong 001 (CoRR, 2025)

SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. - Jinglong Luo; Zhuo Zhang 007; Yehong Zhang; Shiyu Liu; Ye Dong; Xun Zhou 001; Hui Wang 013; Yue Yu 001; Zenglin Xu (CoRR, 2025)

Blackbox Dataset Inference for LLM. - Ruikai Zhou; Kang Yang; Xun Chen; Wendy Hui Wang; Guanhong Tao 001; Jun Xu 024 (CoRR, 2025)