Search Results - "Xiao, Xiaokui"

Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy by Shin, Hyejin, Kim, Sungwook, Shin, Junbum, Xiao, Xiaokui

“…Recommender systems are collecting and analyzing user data to provide better user experience. However, several privacy concerns have been raised when a…”
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Differential Privacy via Wavelet Transforms by Xiaokui Xiao, Guozhang Wang, Gehrke, J.

“…Privacy-preserving data publishing has attracted considerable research interest in recent years. Among the existing solutions, ∈-differential privacy provides…”
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Differentially private histogram publication by Xu, Jia, Zhang, Zhenjie, Xiao, Xiaokui, Yang, Yin, Yu, Ge, Winslett, Marianne

“…Differential privacy (DP) is a promising scheme for releasing the results of statistical queries on sensitive data, with strong privacy guarantees against…”
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Secure nearest neighbor revisited by Bin Yao, Feifei Li, Xiaokui Xiao

“…In this paper, we investigate the secure nearest neighbor (SNN) problem, in which a client issues an encrypted query point E(q) to a cloud service provider and…”
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Network Motif Discovery: A GPU Approach by Lin, Wenqing, Xiao, Xiaokui, Xie, Xing, Li, Xiao-Li

“…The identification of network motifs has important applications in numerous domains, such as pattern detection in biological networks and graph analysis in…”
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The Disruptions of 5G on Data-Driven Technologies and Applications by Loghin, Dumitrel, Cai, Shaofeng, Chen, Gang, Dinh, Tien Tuan Anh, Fan, Feiyi, Lin, Qian, Ng, Janice, Ooi, Beng Chin, Sun, Xutao, Ta, Quang-Trung, Wang, Wei, Xiao, Xiaokui, Yang, Yang, Zhang, Meihui, Zhang, Zhonghua

“…With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In…”
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PANE: scalable and effective attributed network embedding by Yang, Renchi, Shi, Jieming, Xiao, Xiaokui, Yang, Yin, Bhowmick, Sourav S., Liu, Juncheng

“…Given a graph G where each node is associated with a set of attributes, attributed network embedding (ANE) maps each node v ∈ G to a compact vector X v , which…”
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PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy by Ning Wang, Xiaokui Xiao, Yin Yang, Ta Duy Hoang, Hyejin Shin, Junbum Shin, Ge Yu

“…A mobile operating system often needs to collect frequent new terms from users in order to build and maintain a comprehensive dictionary. Collecting keyboard…”
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Publishing Search Logs-A Comparative Study of Privacy Guarantees by Gotz, M., Machanavajjhala, A., Guozhang Wang, Xiaokui Xiao, Gehrke, J.

“…Search engine companies collect the "database of intentions," the histories of their users' search queries. These search logs are a gold mine for researchers…”
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Efficient Skyline and Top-k Retrieval in Subspaces by Tao, Yufei, Xiao, Xiaokui, Pei, Jian

“…Skyline and top-k queries are two popular operations for preference retrieval. In practice, applications that require these operations usually provide numerous…”
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Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates by Arcolezi, Héber H., Couchot, Jean-François, Al Bouna, Bechara, Xiao, Xiaokui

“…This paper investigates the problem of collecting multidimensional data throughout time (i.e., longitudinal studies) for the fundamental task of frequency…”
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Large-scale frequent subgraph mining in MapReduce by Wenqing Lin, Xiaokui Xiao, Ghinita, Gabriel

“…Mining frequent subgraphs from a large collection of graph objects is an important problem in several application domains such as bio-informatics, social…”
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FERRARI: an efficient framework for visual exploratory subgraph search in graph databases by Wang, Chaohui, Xie, Miao, Bhowmick, Sourav S., Choi, Byron, Xiao, Xiaokui, Zhou, Shuigeng

“…Exploratory search paradigm assists users who do not have a clear search intent and are unfamiliar with the underlying data space. Query formulation evolves…”
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Towards Locally Differentially Private Generic Graph Metric Estimation by Ye, Qingqing, Hu, Haibo, Au, Man Ho, Meng, Xiaofeng, Xiao, Xiaokui

“…Local differential privacy (LDP) is an emerging technique for privacy-preserving data collection without a trusted collector. Despite its strong privacy…”
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Differential privacy via wavelet transforms by Xiaokui Xiao, Guozhang Wang, Gehrke, Johannes

“…Privacy preserving data publishing has attracted considerable research interest in recent years. Among the existing solutions, ¿-differential privacy provides…”
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Differentially Private Histogram Publication by Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Ge Yu

“…Differential privacy (DP) is a promising scheme for releasing the results of statistical queries on sensitive data, with strong privacy guarantees against…”
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Price-and-Time-Aware Dynamic Ridesharing by Lu Chen, Qilu Zhong, Xiaokui Xiao, Yunjun Gao, Pengfei Jin, Jensen, Christian S.

“…Ridesharing refers to a transportation scenario where travellers with similar itineraries and time schedules share a vehicle for a trip and split the travel…”
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ANGEL: Enhancing the Utility of Generalization for Privacy Preserving Publication by Tao, Yufei, Chen, Hekang, Xiao, Xiaokui, Zhou, Shuigeng, Zhang, Donghui

“…Generalization is a well-known method for privacy preserving data publication. Despite its vast popularity, it has several drawbacks such as heavy information…”
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Dynamic monitoring of optimal locations in road network databases by Yao, Bin, Xiao, Xiaokui, Li, Feifei, Wu, Yifan

“…Optimal location (OL) queries are a type of spatial queries that are particularly useful for the strategic planning of resources. Given a set of existing…”
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Synthetic Data Generation with Differential Privacy via Bayesian Networks by Bao, Ergute, Xiao, Xiaokui, Zhao, Jun, Zhang, Dongping, Ding, Bolin

“…This paper describes PrivBayes, a differentially private method for generating synthetic datasets that was used in the 2018 Differential Privacy Synthetic Data…”
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