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Margarita Vinaroz
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2020 – today
- 2024
- [j3]Margarita Vinaroz, Mijung Park:
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [i4]Margarita Vinaroz, Mijung Park:
Differentially Private Kernel Inducing Points (DP-KIP) for Privacy-preserving Data Distillation. CoRR abs/2301.13389 (2023) - [i3]Saiyue Lyu, Margarita Vinaroz, Michael F. Liu, Mijung Park:
Differentially Private Latent Diffusion Models. CoRR abs/2305.15759 (2023) - 2022
- [j2]Margarita Vinaroz, Mijung Park:
Differentially Private Stochastic Expectation Propagation. Trans. Mach. Learn. Res. 2022 (2022) - [c1]Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski, Mijung Park:
Hermite Polynomial Features for Private Data Generation. ICML 2022: 22300-22324 - 2021
- [j1]Mijung Park, Margarita Vinaroz, Wittawat Jitkrittum:
ABCDP: Approximate Bayesian Computation with Differential Privacy. Entropy 23(8): 961 (2021) - [i2]Mijung Park, Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder:
Polynomial magic! Hermite polynomials for private data generation. CoRR abs/2106.05042 (2021) - [i1]Margarita Vinaroz, Mijung Park:
DP-SEP! Differentially Private Stochastic Expectation Propagation. CoRR abs/2111.13219 (2021)
Coauthor Index
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