Search Results for author: Yixi Xu

Found 7 papers, 2 papers with code

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset

no code implementations11 Mar 2024 Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan L. Ferres, Arman Rahmim

Various instances of the network were trained on 2D axial datasets created in different ways: (i) slice-level split and (ii) patient-level split; inputs of different types were used: (i) only PET slices and (ii) concatenated PET and CT slices; and different training strategies were employed: (i) center-aware (CAW) and (ii) center-agnostic (CAG).

Binary Classification Classification +3

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models

no code implementations11 Sep 2020 Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan Lavista Ferres

In this work, we propose the first formal framework for membership privacy estimation in generative models.

privGAN: Protecting GANs from membership inference attacks at low cost

1 code implementation31 Dec 2019 Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres

It has been shown that such synthetic data can be used for a variety of downstream tasks such as training classifiers that would otherwise require the original dataset to be shared.

Privacy Preserving

Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units

no code implementations NeurIPS 2018 Yixi Xu, Xiao Wang

This paper presents a general framework for norm-based capacity control for $L_{p, q}$ weight normalized deep neural networks.

On the Statistical Efficiency of Compositional Nonparametric Prediction

no code implementations6 Apr 2017 Yixi Xu, Jean Honorio, Xiao Wang

In this paper, we propose a compositional nonparametric method in which a model is expressed as a labeled binary tree of $2k+1$ nodes, where each node is either a summation, a multiplication, or the application of one of the $q$ basis functions to one of the $p$ covariates.

regression

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