Membership Privacy in MicroRNA-based Studies-Reference-Cited by-同舟云学术

Membership Privacy in MicroRNA-based Studies

Published:2016-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
language:
Short-container-title:

Author:

Backes Michael¹,Berrang Pascal²,Humbert Mathias²,Manoharan Praveen²

Affiliation:

1. CISPA, Saarland University & MPI-SWS, Saarbrücken, Germany

2. CISPA, Saarland University, Saarbrücken, Germany

Funder

Bundesministerium für Bildung und Forschung

Deutsche Forschungsgemeinschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2976749.2978355

Reference38 articles.

1. Arrayexpress. https://www.ebi.ac.uk/arrayexpress. Accessed: 2016-02--12. Arrayexpress. https://www.ebi.ac.uk/arrayexpress. Accessed: 2016-02--12.

2. Cancer statistics. http://seer.cancer.gov/statfacts/html/all.html. Accessed: 2016-05--18. Cancer statistics. http://seer.cancer.gov/statfacts/html/all.html. Accessed: 2016-05--18.

3. Gene expression omnibus. http://www.ncbi.nlm.nih.gov/geo. Accessed: 2016-02--12. Gene expression omnibus. http://www.ncbi.nlm.nih.gov/geo. Accessed: 2016-02--12.

4. Genome-wide association studies. https://www.genome.gov/20019523/genomewide-association-studies-fact-sheet/. Accessed: 2016-04--29. Genome-wide association studies. https://www.genome.gov/20019523/genomewide-association-studies-fact-sheet/. Accessed: 2016-04--29.

5. Health insurer anthem discloses customer and employee data breach. http://www.computerworld.com/article/2879649/health-insurer-anthem-discloses-customer-and-employee-data-breach.html. Accessed: 2016-02-03. Health insurer anthem discloses customer and employee data breach. http://www.computerworld.com/article/2879649/health-insurer-anthem-discloses-customer-and-employee-data-breach.html. Accessed: 2016-02-03.

Cited by 43 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. Comparative Analysis of Membership Inference Attacks in Federated and Centralized Learning;Information;2023-11-19

2. Defending Against Membership Inference Attack by Shielding Membership Signals;IEEE Transactions on Services Computing;2023-11

3. Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning;Proceedings of the IEEE;2023-09

4. Beyond model splitting: Preventing label inference attacks in vertical federated learning with dispersed training;World Wide Web;2023-05-08

5. Comparative Analysis of Membership Inference Attacks in Federated Learning;International Database Engineered Applications Symposium Conference;2023-05-05