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Garam Lee

2 accepted papers

2023

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption

ICML 2023oral

Transfer learning is a de facto standard method for efficiently training machine learning models for data-scarce problems by adding and fine-tuning new classification layers to a model pre-trained on large datasets. Although numerous previous studies proposed to use homomorphic encryption to resolve…

2022

Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption

NAACL 2022long

Embeddings, which compress information in raw text into semantics-preserving low-dimensional vectors, have been widely adopted for their efficacy. However, recent research has shown that embeddings can potentially leak private information about sensitive attributes of the text, and in some cases, ca…