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03/01/2023
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
Graph neural networks (GNN) have been widely deployed in real-world netw...
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07/12/2022
Revealing Unfair Models by Mining Interpretable Evidence
The popularity of machine learning has increased the risk of unfair mode...
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03/05/2022
Cosine Model Watermarking Against Ensemble Distillation
Many model watermarking methods have been developed to prevent valuable ...
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12/15/2021
Mining Minority-class Examples With Uncertainty Estimates
In the real world, the frequency of occurrence of objects is naturally s...
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09/17/2021
Achieving Model Fairness in Vertical Federated Learning
Vertical federated learning (VFL), which enables multiple enterprises po...
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09/13/2021
FedFair: Training Fair Models In Cross-Silo Federated Learning
Building fair machine learning models becomes more and more important. A...
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08/13/2021
Finding Representative Interpretations on Convolutional Neural Networks
Interpreting the decision logic behind effective deep convolutional neur...
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07/08/2021
Robust Counterfactual Explanations on Graph Neural Networks
Massive deployment of Graph Neural Networks (GNNs) in high-stake applica...
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03/08/2021
Model Complexity of Deep Learning: A Survey
Model complexity is a fundamental problem in deep learning. In this pape...
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11/01/2020
Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test
The Kolmogorov-Smirnov (KS) test is popularly used in many applications,...
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07/07/2020
Personalized Federated Learning: An Attentive Collaboration Approach
For the challenging computational environment of IOT/edge computing, per...
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11/26/2019
Finding Route Hotspots in Large Labeled Networks
In many advanced network analysis applications, like social networks, e-...
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06/17/2019
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution
More and more AI services are provided through APIs on cloud where predi...
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05/08/2018
Mining Top-k Sequential Patterns in Database Graphs:A New Challenging Problem and a Sampling-based Approach
In many real world networks, a vertex is usually associated with a trans...
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02/17/2018
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
Strong intelligent machines powered by deep neural networks are increasi...
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09/23/2017
