Our Data, Ourselves: Privacy Via Distributed Noise Generation
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/11761679_29
Reference25 articles.
1. Agrawal, D., Aggarwal, C.: On the design and quantification of privacy preserving data mining algorithms. In: Proceedings of the 20th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 247–255 (2001)
2. Agrawal, R., Srikant, R.: Privacy-preserving data mining. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 439–450 (May 2000)
3. Bellare, M., Garay, J.A., Rabin, T.: Distributed pseudo-random bit generators—a new way to speed-up shared coin tossing. In: Proceedings of the 15th ACM Symposium on Principles of Distributed Computing, pp. 191–200 (1996)
4. Blum, A., Dwork, C., McSherry, F., Nissim, K.: Practical privacy: The SuLQ framework. In: Proceedings of the 24th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 128–138 (June 2005)
5. Chawla, S., Dwork, C., McSherry, F., Smith, A., Wee, H.: Toward privacy in public databases. In: Proceedings of the 2nd Theory of Cryptography Conference, pp. 363–385 (2005)
Cited by 581 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. Gaussian differentially private robust mean estimation and inference;Bernoulli;2024-11-01
2. A Federated Learning Framework Based on Differentially Private Continuous Data Release;IEEE Transactions on Dependable and Secure Computing;2024-09
3. Siren+: Robust Federated Learning With Proactive Alarming and Differential Privacy;IEEE Transactions on Dependable and Secure Computing;2024-09
4. A Framework for Adversarial Streaming Via Differential Privacy and Difference Estimators;Algorithmica;2024-08-31
5. Further Insights: Balancing Privacy, Explainability, and Utility in Machine Learning-based Tabular Data Analysis;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30
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