22 citations · 48 across the 7 of their papers we have counts for
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stat.ML2022
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)
Hao Wang, Wanyu Lin, Hao He +3
Recent years have seen advances on principles and guidance relating to accountable and ethical use of artificial intelligence (AI) spring up around the globe. Specifically, Data Pr…
cs.LG2022★ 3 cited
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
Wanyu Lin, Hao Lan, Hao Wang +1
This paper proposes a new eXplanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors. Spe…
cs.LG2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy
Wanyu Lin, Baochun Li, Cong Wang
Many real-world networks are inherently decentralized. For example, in social networks, each user maintains a local view of a social graph, such as a list of friends and her profil…