Differentially Private Triangle Counting in Large Graphs

Author:

Ding Xiaofeng1ORCID,Sheng Shujun1,Zhou Huajian1,Zhang Xiaodong1,Bao Zhifeng2ORCID,Zhou Pan3ORCID,Jin Hai1ORCID

Affiliation:

1. National Engineering Research Center for Big Data Technology and System Lab, SCTS and CGCL, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. School of Computer Science and IT, RMIT University, Melbourne, VIC, Australia

3. School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Reference33 articles.

1. Efficient lipschitz extensions for high-dimensional graph statistics and node private degree distributions;raskhodnikova,2015

2. The Network Data Repository with Interactive Graph Analytics and Visualization

3. SNAP Datasets: Stanford large network dataset collection;leskovec,2014

4. Calibrating noise to sensitivity in private data analysis;dwork;Proc Theory Cryptogr Conf,2006

5. Differentially Private Histogram Publication

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IEA-DP: Information Entropy-driven Adaptive Differential Privacy Protection Scheme for social networks;The Journal of Supercomputing;2024-06-03

2. FRESH: Towards Efficient Graph Queries in an Outsourced Graph;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Butterfly Counting over Bipartite Graphs with Local Differential Privacy;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. A Probability Mapping-Based Privacy Preservation Method for Social Networks;Communications in Computer and Information Science;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3