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Peiyuan Liao

2 accepted papers

2022

Learning Weakly-supervised Contrastive Representations

ICLR 2022poster

We argue that a form of the valuable information provided by the auxiliary information is its implied data clustering information. For instance, considering hashtags as auxiliary information, we can hypothesize that an Instagram image will be semantically more similar with the same hashtags. With th…

2021

Information Obfuscation of Graph Neural Networks

ICML 2021spotlight

While the advent of Graph Neural Networks (GNNs) has greatly improved node and graph representation learning in many applications, the neighborhood aggregation scheme exposes additional vulnerabilities to adversaries seeking to extract node-level information about sensitive attributes. In this paper…