Kejia Zhang
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    • Released AdverRobust, a open-source framework for adversarial training and robustness evaluation!
    • 📈 I obtained my bachelor’s degree from Anhui University.
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    • Motif-based GNNs
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    • Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
    • Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
    • A Collaborative Framework Using Multimodal Data and Adaptive Noise for Human Behavior Anomaly Detection
    • Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
    • Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks
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Motif-based GNNs

Sep 13, 2024 · 1 min read
Go to Project Site

An Adversarial Training Framework for Enhancing the Adversarial Robustness of DNNs.

Last updated on Sep 13, 2024
Graph Neural Networks
kejia Zhang
Authors
kejia Zhang
Master Student
← AdverRobust Sep 13, 2024

© 2024 Kejia Zhang. This work is licensed under CC BY NC ND 4.0

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