Search Results for author: Garam Lee

Found 3 papers, 1 papers with code

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption

1 code implementation21 Mar 2024 Seewoo Lee, Garam Lee, Jung Woo Kim, Junbum Shin, Mun-Kyu Lee

Although numerous previous studies proposed to use homomorphic encryption to resolve the data privacy issue in transfer learning in the machine learning as a service setting, most of them only focused on encrypted inference.

Privacy Preserving Transfer Learning

Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption

no code implementations NAACL 2022 Garam Lee, Minsoo Kim, Jai Hyun Park, Seung-won Hwang, Jung Hee Cheon

Embeddings, which compress information in raw text into semantics-preserving low-dimensional vectors, have been widely adopted for their efficacy.

Privacy Preserving text-classification +1

Dispersion control in pressure-driven flow through bowed rectangular microchannels

no code implementations6 Jan 2021 Garam Lee, Alan Luner, Jeremy Marzuola, Daniel M. Harris

Using a rapidly prototyped multi-layer microchip, the channel wall is deformed by a controlled pressure source allowing us to characterize the dependence of the dispersion on the deflection of the channel wall and overall channel aspect ratio.

Fluid Dynamics

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