3 citations · 5 across the 4 of their papers we have counts for
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cs.LG2022★ 3 cited
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation
Yucong Liu, Chi-Hua Wang, Guang Cheng
Devising procedures for auditing generative model privacy-utility tradeoff is an important yet unresolved problem in practice. Existing works concentrates on investigating the priv…
cs.LG2022★ 1 cited
LU decomposition and Toeplitz decomposition of a neural network
Yucong Liu, Simiao Jiao, Lek-Heng Lim
It is well-known that any matrix has an LU decomposition. Less well-known is the fact that it has a 'Toeplitz decomposition' where 's are Toeplitz…
cs.LG2022
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace
Yucong Liu, Shixing Yu, Tong Lin
In this paper, we develop a novel regularization method for deep neural networks by penalizing the trace of Hessian. This regularizer is motivated by a recent guarantee bound of th…