A Lightweight Advertisement Ecosystem Simulation Platform for Security Analysis-Reference-Cited by-同舟云学术

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A Lightweight Advertisement Ecosystem Simulation Platform for Security Analysis

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Cryptography, Security and Privacy (CSP)
language:
Short-container-title:

Author:

Yu Chenjia¹,Gheisari Mehdi²,Liu Yang³

Affiliation:

1. Harbin Institute of Technology, Shenzhen,College of Computer Science and Technology,Shenzhen

2. Islamic Azad University,Young Researchers and Elite Club, Parand Branch,Parandt,Iran

3. Harbin Institute of Technology, Shenzhen Peng Cheng Laboratory,College of Computer Science and Technology,Shenzhen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9844828/9845241/09845316.pdf?arnumber=9845316

Reference14 articles.

1. Objects, Metrics and Practices: An Inquiry into the Programmatic Advertising Ecosystem

2. Applying Differential Privacy to Matrix Factorization

3. Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

4. Federated Machine Learning

5. A new triadic creative role for advertising industry: a study of creatives’ role identity in the rise of social media advertising

Cited by 1 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. Internet of Medical Things Privacy and Security: Challenges, Solutions, and Future Trends from a New Perspective;Sustainability;2023-02-10

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