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08/20/2023
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
Spiking neural networks (SNNs) have tremendous potential for energy-effi...
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06/18/2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
Joint extraction of entities and relations from unstructured texts is a ...
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02/27/2021
Lifelong Learning based Disease Diagnosis on Clinical Notes
Current deep learning based disease diagnosis systems usually fall short...
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02/10/2021
Node-Level Membership Inference Attacks Against Graph Neural Networks
Many real-world data comes in the form of graphs, such as social network...
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02/04/2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Inference attacks against Machine Learning (ML) models allow adversaries...
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09/17/2020
Finding Influential Instances for Distantly Supervised Relation Extraction
Distant supervision has been demonstrated to be highly beneficial to enh...
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09/06/2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks
We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...
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09/06/2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
Counterfactual learning for dealing with missing-not-at-random data (MNA...
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03/07/2020
Dynamic Backdoor Attacks Against Machine Learning Models
Machine learning (ML) has made tremendous progress during the past decad...
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01/25/2020