| Jul 1, 2024 |
Check out our new preprint Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
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| Jul 1, 2024 |
Our paper Relaxing Graph Transformers for Adversarial Attacks got accepted at Differentiable Almost Everything@ICML 2024  .
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| Oct 1, 2023 |
Our paper Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions got accepted at
NeurIPS 2023 .
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| Jun 1, 2023 |
Our paper Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness got accepted at
AdvML Frontiers@ICML2023 .
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| Feb 1, 2023 |
Our paper Revisiting Robustness in Graph Machine Learning got accepted at ICLR 2023 .
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| Dec 9, 2022 |
I gave an oral talk today at TSRML@NeurIPS22 about Revisiting Robustness in Graph Machine Learning.
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| Nov 1, 2022 |
Our paper Training Differentially Private Graph Neural Networks with Random Walk Sampling got accepted at the TSRML@NeurIPS22 workshop .
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| Nov 1, 2022 |
Our paper Revisiting Robustness in Graph Machine Learning got accepted and selected for an oral talk at
TSRML@NeurIPS22 and accepted at ML-Safety@NeurIPS22 .
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