Xuanqing Liu

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

2019 · arXiv (Cornell University)

In this paper, we proposed a general framework for data poisoning attacks to graph-based semi-supervised learning (G-SSL). In this framework, we first unify different tasks, goals, and constraints into a single formula for data poisoning …

Stochastic Optimization for Nonconvex Problem With Inexact Hessian Matrix, Gradient, and Function

2023 · IEEE Transactions on Neural Networks and Learning Systems

Trust region (TR) and adaptive regularization using cubics (ARC) have proven to have some very appealing theoretical properties for nonconvex optimization by concurrently computing function value, gradient, and Hessian matrix to obtain the next search …

Cluster-GCN

2019

Graph convolutional network (GCN) has been successfully applied to many graph-based applications; however, training a large-scale GCN remains challenging. Current SGD-based algorithms suffer from either a high computational cost that exponentially grows with number of …