Targeted Model Inversion: Distilling style encoded in predictions

Author:

Jeong HoyongORCID,Chung Kiwon,Hwang Sung Ju,Son SooelORCID

Funder

IITP

Publisher

Elsevier BV

Reference47 articles.

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2. You are what you like! information leakage through users’ interests;Abdelberi,2012

3. An, S., Tao, G., Xu, Q., Liu, Y., Shen, G., Yao, Y., Xu, J., Zhang, X., 2022. Mirror: Model inversion for deep learning network with high fidelity. In: Proceedings of the 29th Network and Distributed System Security Symposium. http://dx.doi.org/10.14722/ndss.2022.24335.

4. PadChest: A large chest x-ray image dataset with multi-label annotated reports;Bustos,2019

5. Knowledge-enriched distributional model inversion attacks;Chen,2021

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