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Found 4 papers, 1 papers with code
FastFill: Efficient Compatible Model Update
The task of retrieving the most similar data from a gallery set to a given query data is performed through a similarity comparison on features.
Attention for Adversarial Attacks: Learning from your Mistakes
The GNN outputs a smaller subspace for the PGD attack to focus on.
Neural Network Branch-and-Bound for Neural Network Verification
Our combined framework achieves a 50\% reduction in both the number of branches and the time required for verification on various convolutional networks when compared to several state-of-the-art verification methods.
Generating Adversarial Examples with Graph Neural Networks
Recent years have witnessed the deployment of adversarial attacks to evaluate the robustness of Neural Networks.
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