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Found 2 papers, 1 papers with code
Fooling a Complete Neural Network Verifier
The efficient and accurate characterization of the robustness of neural networks to input perturbation is an important open problem.
Gossip Learning with Linear Models on Fully Distributed Data
Machine learning over fully distributed data poses an important problem in peer-to-peer (P2P) applications.
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