Xi He - RankMe

57 papers A* 5B 1Journal 39Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Computing Inconsistency Measures Under Differential Privacy. CoRR Shubhankar Mohapatra, Amir Gilad, Xi He, Benny Kimelfeld
2025	J	`jnl`	Computing Inconsistency Measures Under Differential Privacy. Proc. ACM Manag. Data Shubhankar Mohapatra, Amir Gilad, Xi He, Benny Kimelfeld
2025	A*	`conf`	Towards Secure Data Management using Multi-Cryptographic Solutions (Invited). DAC Shufan Zhang, Xi He, Ashish Kundu, Sujaya Maiyya, Sharad Mehrotra, Shantanu Sharma
2024	J	`jnl`	Differential Privacy with Fine-Grained Provenance: Opportunities and Challenges. IEEE Data Eng. Bull. Xi He, Shufan Zhang
2024	J	`jnl`	Differentially Private Data Generation with Missing Data. Proc. VLDB Endow. Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum, Xi He
2024	J	`jnl`	Preventing Inferences Through Data Dependencies on Sensitive Data. IEEE Trans. Knowl. Data Eng. Primal Pappachan, Shufan Zhang, Xi He, Sharad Mehrotra
2024	A*	`conf`	ProBE: Proportioning Privacy Budget for Complex Exploratory Decision Support. CCS Nada Lahjouji, Sameera Ghayyur, Xi He, Sharad Mehrotra
2024	J	`jnl`	ProBE: Proportioning Privacy Budget for Complex Exploratory Decision Support. CoRR Nada Lahjouji, Sameera Ghayyur, Xi He, Sharad Mehrotra
2024	—	`conf`	Reproducibility Report for ACM SIGMOD 2024 Paper: 'DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance'. SIGMOD/PODS Giorgio Vinciguerra, Chuqing Gao, Shufan Zhang, Xi He
2024	A*	`conf`	Secure Normal Form: Mediation Among Cross Cryptographic Leakages in Encrypted Databases. ICDE Shufan Zhang, Xi He, Ashish Kundu, Sharad Mehrotra, Shantanu Sharma
2024	J	`jnl`	Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark. SIGMOD Rec. Xi He
2023	J	`jnl`	DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance. CoRR Shufan Zhang, Xi He
2023	J	`jnl`	DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance. Proc. ACM Manag. Data Shufan Zhang, Xi He
2023	J	`jnl`	Differentially Private Data Generation with Missing Data. CoRR Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum, Xi He
2022	J	`jnl`	Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration. CoRR Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He
2022	J	`jnl`	Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration. Proc. VLDB Endow. Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He
2022	J	`jnl`	Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data. CoRR Primal Pappachan, Shufan Zhang, Xi He, Sharad Mehrotra
2022	J	`jnl`	Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data. Proc. VLDB Endow. Primal Pappachan, Shufan Zhang, Xi He, Sharad Mehrotra
2022	J	`jnl`	MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support. Proc. VLDB Endow. Sameera Ghayyur, Dhrubajyoti Ghosh, Xi He, Sharad Mehrotra
2022	A*	`conf`	The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. AAAI Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar
2022	J	`jnl`	Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. CoRR Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers
2022	J	`jnl`	Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. Proc. Priv. Enhancing Technol. Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers
2021	J	`jnl`	Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration. Proc. VLDB Endow. Jiaxiang Liu, Karl Knopf, Yiqing Tan, Bolin Ding, Xi He
2021	J	`jnl`	DP-cryptography: marrying differential privacy and cryptography in emerging applications. Commun. ACM Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal
2021	—	`conf`	DPGraph: A Benchmark Platform for Differentially Private Graph Analysis. SIGMOD Conference Siyuan Xia, Beizhen Chang, Karl Knopf, Yihan He, Yuchao Tao, Xi He
2021	J	`jnl`	Differential Privacy for Databases. Found. Trends Databases Joseph P. Near, Xi He
2021	—	`conf`	Federated Deep Learning Architecture for Personalized Healthcare. MIE Helen H. Chen, Shubhankar Mohapatra, George Michalopoulos, Xi He, Ian McKillop
2021	J	`jnl`	Kamino: Constraint-Aware Differentially Private Data Synthesis. Proc. VLDB Endow. Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas
2021	—	`conf`	Practical Security and Privacy for Database Systems. SIGMOD Conference Xi He, Jennie Rogers, Johes Bater, Ashwin Machanavajjhala, Chenghong Wang, Xiao Wang
2021	J	`jnl`	The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. CoRR Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar
2021	J	`jnl`	Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy. CoRR Christian Covington, Xi He, James Honaker, Gautam Kamath
2020	—	`conf`	Computing Local Sensitivities of Counting Queries with Joins. SIGMOD Conference Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy
2020	J	`jnl`	Computing Local Sensitivities of Counting Queries with Joins. CoRR Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy
2020	—	`conf`	Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers. SIGMOD Conference Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha
2020	J	`jnl`	DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications. CoRR Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal
2020	J	`jnl`	Kamino: Constraint-Aware Differentially Private Data Synthesis. CoRR Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas
2020	B	`conf`	Linear and Range Counting under Metric-based Local Differential Privacy. ISIT Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou
2020	J	`jnl`	SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations. Proc. VLDB Endow. Johes Bater, Yongjoo Park, Xi He, Xiao Wang, Jennie Rogers
2019	—	`conf`	APEx: Accuracy-Aware Differentially Private Data Exploration. SIGMOD Conference Chang Ge, Xi He, Ihab F. Ilyas, Ashwin Machanavajjhala
2019	J	`jnl`	Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. CoRR Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou
2019	J	`jnl`	Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal
2019	J	`jnl`	Outis: Crypto-Assisted Differential Privacy on Untrusted Servers. CoRR Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha
2019	—	`conf`	Privacy Changes Everything. Poly/DMAH@VLDB Jennie Rogers, Johes Bater, Xi He, Ashwin Machanavajjhala, Madhav Suresh, Xiao Wang
2019	J	`jnl`	PrivateSQL: A Differentially Private SQL Query Engine. Proc. VLDB Endow. Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
2018	—	`ch.`	Analyzing Your Location Data with Provable Privacy Guarantees. Handbook of Mobile Data Privacy Ashwin Machanavajjhala, Xi He
2018	—	`—`	Policy Driven Data Sharing with Provable Privacy Guarantees. Xi He
2018	J	`jnl`	ShrinkWrap: Efficient SQL Query Processing in Differentially Private Data Federations. Proc. VLDB Endow. Johes Bater, Xi He, William Ehrich, Ashwin Machanavajjhala, Jennie Rogers
2018	J	`jnl`	Shrinkwrap: Differentially-Private Query Processing in Private Data Federations. CoRR Johes Bater, Xi He, William Ehrich, Ashwin Machanavajjhala, Jennie Rogers
2017	A*	`conf`	Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage. CCS Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava
2017	—	`conf`	Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges. SIGMOD Conference Ashwin Machanavajjhala, Xi He, Michael Hay
2017	J	`jnl`	Private Exploration Primitives for Data Cleaning. CoRR Chang Ge, Ihab F. Ilyas, Xi He, Ashwin Machanavajjhala
2017	J	`jnl`	Scaling Private Record Linkage using Output Constrained Differential Privacy. CoRR Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava
2016	J	`jnl`	A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories. Proc. VLDB Endow. Xi He, Nisarg Raval, Ashwin Machanavajjhala
2016	J	`jnl`	Differential Privacy in the Wild: A tutorial on current practices & open challenges. Proc. VLDB Endow. Ashwin Machanavajjhala, Xi He, Michael Hay
2015	J	`jnl`	DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems. Proc. VLDB Endow. Xi He, Graham Cormode, Ashwin Machanavajjhala, Cecilia M. Procopiuc, Divesh Srivastava
2014	—	`conf`	Blowfish privacy: tuning privacy-utility trade-offs using policies. SIGMOD Conference Xi He, Ashwin Machanavajjhala, Bolin Ding
2013	J	`jnl`	Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies. CoRR Xi He, Ashwin Machanavajjhala, Bolin Ding