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Mixed-integer quadratic programming formulations for computing the Lipschitz constant of ReLU networks

The Lipschitz constant of a neural network is a useful metric to get information about the robustness of a trained network. Its exact calculation is however NP-hard even for one hidden layer ReLU networks. In this presentation, by taking into account activation regions at each layer as new constraints, we propose new quadratically constrained mixed ...
Sbihi, Mohammed   +2 more
openaire   +1 more source

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