Wei Jiang

Associate Chair for Graduate Studies and External Affairs, Associate Professor

Computer Science Department

Privacy and data utility are often perceived to be at odds. An omniscient data source would have many benefits, particularly in support of data analysis and information retrieval. However, an omniscient data source eases misuse, such as the growing problem of identity theft. What we need is the ability to compute the desired “beneficial outcome” of sharing data for mining or analysis without having to actually share or disclose data. Secure multi-party computation (SMC) has emerged as an answer to this problem. Informally, if a protocol (in a distribute environment) meets the SMC definitions, the participating parties learn merely the final result and whatever can be inferred from the final result and their own inputs.

Based on the concept of SMC, Dr. Jiang's main research focuses on designing SMC-based computationally efficient protocols and models to facilitate privacy-preserving data analysis and information retrieval tasks.

Selected Publications

Bharath K. Samanthula and Wei Jiang, “A Randomized Approach for Structural and Message based Private Friend Recommendation in Online Social Networks”, Social Network Analysis and Mining (SNAM), Springer. To appear. 

Murat Kantarcioglu and Wei Jiang, “Incentive Compatible Privacy-Preserving Data Analysis”, IEEE Transactions on Knowledge and Data Engineering, 25(6):1323{1335, March 19, 2012.

Mummoorthy Murugesan, Wei Jiang, Chris Clifton, Luo Si and Jaideep Vaidya, “Efficient Privacy-Preserving Similar Document Detection”, the VLDB Journal, January 16, 2010.

Murat Kantarcioglu, Ali Inan, Wei Jiang and Bradley Malin, “Formal Anonymity Models for Efficient Privacy-Preserving Joins”, Data & Knowledge Engineering (DKE), Elsevier, November, 2009.

Wei Jiang, Mummoorthy Murugesan, Chris Clifton and Luo Si,“t-Plausibility: Semantic Preserving Text Sanitization”, The 2009 IEEE International Conference on Privacy, Security, Risk and Trust (PASSAT09), Vancouver, Canada, August 29-31, 2009.

Murat Kantarcoglu, Wei Jiang, Ying L  iu and Bradley Malin, “A Cryptographic Approach to Securely Share and Query Genomic Sequences”, IEEE Transactions on Information Technology in Biomedicine (TITB), 2008.

Chris Clifton, Ananth Iyer, Richard Cho, Wei Jiang, Murat Kantarcioglu and Jaideep Vaidya, “An Approach to Identifying Beneficial Collaboration Securely in Decentralized Logistics Systems”, Manufacturing & Service Operations Management, INFORMS, Maryland. 2008.

Wei Jiang, Mummoorthy Murugesan, Chris Clifton and Luo Si, “Similar Document Detection with Limited Information Disclosure”, the 24th International Conference on Data Engineering (ICDE08), Cancun, Mexico, April 7-12, 2008.

Wei Jiang, Chris Clifton and Murat Kantarcoglu, “Transforming Semi-Honest Protocols to Ensure Accountability”, Data & Knowledge Engineering (DKE), Elsevier, July 26, 2007.

Wei Jiang and Chris Clifton, “AC-Framework for Privacy-Preserving Collaboration”, 2007 SIAM International Conference on Data Mining (SDM07), Minneapolis, Minnesota, April 26-28, 2007.

Recent Grants

University of Missouri Research Board (UMRB) “Semantic Preserving Text Sanitization”,  $28,000, PI, 7/09 – 6/10.

University of Missouri Research Board (UMRB) “Earthquake Information System Based on Sensors in Mobile Phones”, $38,000, Co-PI, 8/09-7/10.

Research Interests:

Privacy, Security, Data Mining and Databases: Security and Privacy issues raised by data integration and distributed Data Mining techniques; Security issues in Databases and Federated Search; Applied Cryptography and Secure Multi-Party Computation techniques; Document anonymization to prevent the disclosure of sensitive attributes.

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