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Ben Batten

2 accepted papers

2024

Tight Verification of Probabilistic Robustness in Bayesian Neural Networks

AISTATS 2024poster

We introduce two algorithms for computing tight guarantees on the probabilistic robustness of Bayesian Neural Networks (BNNs). Computing robustness guarantees for BNNs is a significantly more challenging task than verifying the robustness of standard Neural Networks (NNs) because it requires searchi…

2021

Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts

IJCAI 2021poster

We introduce an efficient and tight layer-based semidefinite relaxation for verifying local robustness of neural networks. The improved tightness is the result of the combination between semidefinite relaxations and linear cuts. We obtain a computationally efficient method by decomposing the semidef…

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