TraVaG: Differentially Private Trace Variant Generation Using GANs
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-33080-3_25
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3. Ács, G., Melis, L., Castelluccia, C., Cristofaro, E.D.: Differentially private mixture of generative neural networks. IEEE Trans. Knowl. Data Eng. 31(6), 1109–1121 (2019)
4. Chen, Q., et al.: Differentially private data generative models. CoRR abs/1812.02274 (2018)
5. Cohen, A., Nissim, K.: Towards formalizing the GDPR’s notion of singling out. Proc. Natl. Acad. Sci. USA 117(15), 8344–8352 (2020)
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