Privacy Preserving Text Representation Learning Using BERT-Reference-Cited by-同舟云学术

Privacy Preserving Text Representation Learning Using BERT

Published:2021 Issue: Volume: Page:91-100
ISSN:0302-9743
Container-title:Social, Cultural, and Behavioral Modeling
language:
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Author:

Alnasser Walaa,Beigi Ghazaleh,Liu Huan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80387-2_9

Reference17 articles.

1. Alnasser, W., Beigi, G., Liu, H.: An overview on protecting user private-attribute information on social networks. In: Cruz-Cunha, M.M., Mateus-Coelho, N.R. (eds.) Handbook of Research on Cyber Crime and Information Privacy, Chap. 6 (2020)

2. Beigi, G., Liu, H.: A survey on privacy in social media: identification, mitigation, and applications. ACM/IMS Trans. Data Sci. 1(1) (2020). https://doi.org/10.1145/3343038

3. Beigi, G., Shu, K., Guo, R., Wang, S., Liu, H.: Privacy preserving text representation learning, pp. 275–276 (2019). https://doi.org/10.1145/3342220.3344925

4. Chaudhuri, K., Monteleoni, C., Sarwate, A.D.: Differentially private empirical risk minimization. J. Mach. Learn. Res. 12(29), 1069–1109 (2011). http://jmlr.org/papers/v12/chaudhuri11a.html

5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding (2019)

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1. SecBERT: Privacy-preserving pre-training based neural network inference system;Neural Networks;2024-04

2. PPSL: Privacy-Preserving Text Classification for Split Learning;2022 4th International Conference on Data Intelligence and Security (ICDIS);2022-08