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Yunhui Long

2 accepted papers

2022

SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination

ECCV 2022poster

"Transfer learning through the use of pre-trained models has become a growing trend for the machine learning community. Consequently, numerous pre-trained models are released online to facilitate further research. However, it raises extensive concerns on whether these pre-trained models would leak p…

2021

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators

NeurIPS 2021poster

Recent advances in machine learning have largely benefited from the massive accessible training data. However, large-scale data sharing has raised great privacy concerns. In this work, we propose a novel privacy-preserving data Generative model based on the PATE framework (G-PATE), aiming to train a…