BOOK-CHAPTER

Privacy-Preserving Synthetic Educational Data Generation

Jill-Jênn VieTomas RigauxSein Minn

Year: 2022 Lecture notes in computer science Pages: 393-406   Publisher: Springer Science+Business Media
Keywords:
Computer science Identification (biology) Generative grammar Data science Data anonymization Generative model Synthetic data Information privacy Computer security Internet privacy Data mining Artificial intelligence

Metrics

10
Cited By
3.64
FWCI (Field Weighted Citation Impact)
35
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Internet Traffic Analysis and Secure E-voting
Physical Sciences →  Computer Science →  Artificial Intelligence
Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Synthetic Data Generation and Privacy-Preserving AI

Sreeprasad Govindankutty

Journal:   International Research Journal on Advanced Engineering and Management (IRJAEM) Year: 2025 Vol: 3 (05)Pages: 1681-1688
JOURNAL ARTICLE

Privacy-Preserving Synthetic Data Generation on the NAIRR

Pentyala, SikhaMenzies, ShaneDe Cock, Martine

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2025
JOURNAL ARTICLE

Privacy-Preserving Synthetic Data Generation on the NAIRR

Pentyala, SikhaMenzies, ShaneDe Cock, Martine

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2025
JOURNAL ARTICLE

Privacy-Preserving Synthetic Data Generation for Recommendation Systems

Fan LiuZhiyong ChengHuilin ChenYinwei WeiLiqiang NieMohan Kankanhalli

Journal:   Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval Year: 2022 Pages: 1379-1389
© 2026 ScienceGate Book Chapters — All rights reserved.