Blowfish privacy: tuning privacy-utility trade-offs using policies. - Xi He 001; Ashwin Machanavajjhala; Bolin Ding (SIGMOD Conference, 2014)

DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems. - Xi He 001; Graham Cormode; Ashwin Machanavajjhala; Cecilia M. Procopiuc; Divesh Srivastava (Proc. VLDB Endow., 2015)

A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories. - Xi He 001; Nisarg Raval; Ashwin Machanavajjhala (Proc. VLDB Endow., 2016)

Differential Privacy in the Wild: A tutorial on current practices & open challenges. - Ashwin Machanavajjhala; Xi He 001; Michael Hay (Proc. VLDB Endow., 2016)

Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage. - Xi He 001; Ashwin Machanavajjhala; Cheryl J. Flynn; Divesh Srivastava (CCS, 2017)

Scaling Private Record Linkage using Output Constrained Differential Privacy. - Xi He 001; Ashwin Machanavajjhala; Cheryl J. Flynn; Divesh Srivastava (CoRR, 2017)

Private Exploration Primitives for Data Cleaning. - Chang Ge 002; Ihab F. Ilyas; Xi He 001; Ashwin Machanavajjhala (CoRR, 2017)

Shrinkwrap: Differentially-Private Query Processing in Private Data Federations. - Johes Bater; Xi He 001; William Ehrich; Ashwin Machanavajjhala; Jennie Rogers (CoRR, 2018)

ShrinkWrap: Efficient SQL Query Processing in Differentially Private Data Federations. - Johes Bater; Xi He 001; William Ehrich; Ashwin Machanavajjhala; Jennie Rogers (Proc. VLDB Endow., 2018)

Policy Driven Data Sharing with Provable Privacy Guarantees. - Xi He 001 (2018)

Analyzing Your Location Data with Provable Privacy Guarantees. - Ashwin Machanavajjhala; Xi He 001 (Handbook of Mobile Data Privacy, 2018)

APEx: Accuracy-Aware Differentially Private Data Exploration. - Chang Ge 002; Xi He 001; Ihab F. Ilyas; Ashwin Machanavajjhala (SIGMOD Conference, 2019)

Privacy Changes Everything. - Jennie Rogers; Johes Bater; Xi He 001; Ashwin Machanavajjhala; Madhav Suresh; Xiao Wang 012 (Poly/DMAH@VLDB, 2019)

Outis: Crypto-Assisted Differential Privacy on Untrusted Servers. - Amrita Roy Chowdhury 001; Chenghong Wang; Xi He 001; Ashwin Machanavajjhala; Somesh Jha (CoRR, 2019)

Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. - Zhuolun Xiang; Bolin Ding; Xi He 001; Jingren Zhou 001 (CoRR, 2019)

Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. - Changchang Liu; Xi He 001; Thee Chanyaswad; Shiqiang Wang 001; Prateek Mittal (Proc. Priv. Enhancing Technol., 2019)

PrivateSQL: A Differentially Private SQL Query Engine. - Ios Kotsogiannis; Yuchao Tao; Xi He 001; Maryam Fanaeepour; Ashwin Machanavajjhala; Michael Hay; Gerome Miklau (Proc. VLDB Endow., 2019)

Linear and Range Counting under Metric-based Local Differential Privacy. - Zhuolun Xiang; Bolin Ding; Xi He 001; Jingren Zhou 001 (ISIT, 2020)

Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers. - Amrita Roy Chowdhury 001; Chenghong Wang; Xi He 001; Ashwin Machanavajjhala; Somesh Jha (SIGMOD Conference, 2020)

Computing Local Sensitivities of Counting Queries with Joins. - Yuchao Tao; Xi He 001; Ashwin Machanavajjhala; Sudeepa Roy 001 (SIGMOD Conference, 2020)

SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations. - Johes Bater; Yongjoo Park; Xi He 001; Xiao Wang 012; Jennie Rogers (Proc. VLDB Endow., 2020)

Federated Deep Learning Architecture for Personalized Healthcare. - Helen H. Chen; Shubhankar Mohapatra; George Michalopoulos; Xi He 001; Ian McKillop (MIE, 2021)

Practical Security and Privacy for Database Systems. - Xi He 001; Jennie Rogers; Johes Bater; Ashwin Machanavajjhala; Chenghong Wang; Xiao Wang 012 (SIGMOD Conference, 2021)

DPGraph: A Benchmark Platform for Differentially Private Graph Analysis. - Siyuan Xia; Beizhen Chang; Karl Knopf; Yihan He; Yuchao Tao; Xi He 001 (SIGMOD Conference, 2021)

DP-cryptography: marrying differential privacy and cryptography in emerging applications. - Sameer Wagh; Xi He 001; Ashwin Machanavajjhala; Prateek Mittal (Commun. ACM, 2021)

Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy. - Christian Covington; Xi He 001; James Honaker; Gautam Kamath 001 (CoRR, 2021)

Differential Privacy for Databases. - Joseph P. Near; Xi He 001 (Found. Trends Databases, 2021)

Kamino: Constraint-Aware Differentially Private Data Synthesis. - Chang Ge 002; Shubhankar Mohapatra; Xi He 001; Ihab F. Ilyas (Proc. VLDB Endow., 2021)

Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration. - Jiaxiang Liu; Karl Knopf; Yiqing Tan; Bolin Ding; Xi He 001 (Proc. VLDB Endow., 2021)

The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. - Shubhankar Mohapatra; Sajin Sasy; Xi He 001; Gautam Kamath 001; Om Thakkar 001 (AAAI, 2022)

Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. - Priyanka Nanayakkara; Johes Bater; Xi He 001; Jessica Hullman; Jennie Rogers (Proc. Priv. Enhancing Technol., 2022)

MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support. - Sameera Ghayyur; Dhrubajyoti Ghosh; Xi He 001; Sharad Mehrotra (Proc. VLDB Endow., 2022)

Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration. - Miti Mazmudar; Thomas Humphries; Jiaxiang Liu; Matthew Rafuse; Xi He 001 (Proc. VLDB Endow., 2022)

Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data. - Primal Pappachan; Shufan Zhang 001; Xi He 001; Sharad Mehrotra (Proc. VLDB Endow., 2022)

DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance. - Shufan Zhang 001; Xi He 001 (Proc. ACM Manag. Data, 2023)

ProBE: Proportioning Privacy Budget for Complex Exploratory Decision Support. - Nada Lahjouji; Sameera Ghayyur; Xi He 001; Sharad Mehrotra (CCS, 2024)

Secure Normal Form: Mediation Among Cross Cryptographic Leakages in Encrypted Databases. - Shufan Zhang 001; Xi He 001; Ashish Kundu; Sharad Mehrotra; Shantanu Sharma 001 (ICDE, 2024)

Differential Privacy with Fine-Grained Provenance: Opportunities and Challenges. - Xi He 001; Shufan Zhang 001 (IEEE Data Eng. Bull., 2024)

Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark. - Xi He 001 (SIGMOD Rec., 2024)

Differentially Private Data Generation with Missing Data. - Shubhankar Mohapatra; Jianqiao Zong; Florian Kerschbaum; Xi He 001 (Proc. VLDB Endow., 2024)

Preventing Inferences Through Data Dependencies on Sensitive Data. - Primal Pappachan; Shufan Zhang 001; Xi He 001; Sharad Mehrotra (IEEE Trans. Knowl. Data Eng., 2024)

Computing Inconsistency Measures Under Differential Privacy. - Shubhankar Mohapatra; Amir Gilad; Xi He 001; Benny Kimelfeld (Proc. ACM Manag. Data, 2025)