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02/06/2023
Generative Diffusion Models on Graphs: Methods and Applications
Diffusion models, as a novel generative paradigm, have achieved remarkab...
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10/18/2022
Transferable Unlearnable Examples
With more people publishing their personal data online, unauthorized dat...
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06/23/2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
Knowledge tracing (KT) is the task of using students' historical learnin...
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06/01/2022
Defense Against Gradient Leakage Attacks via Learning to Obscure Data
Federated learning is considered as an effective privacy-preserving lear...
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08/10/2021
Decentralized Composite Optimization with Compression
Decentralized optimization and communication compression have exhibited ...
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06/03/2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Graphs neural networks (GNNs) learn node features by aggregating and com...
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05/13/2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
DeepRobust is a PyTorch adversarial learning library which aims to build...
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10/24/2018
