WebMay 31, 2024 · We propose the first general and scalable framework to design certifiable algorithms for robust geometric perception in the presence of outliers. …

Certified Adversarial Robustness via Randomized …

WebCertifiably robust registration. Almost none of the robust registration algorithms mentioned above (except the BnB algorithm that runs in exponential-time in the worst case) comes with performance guarantees, which means that these algorithms can return completely incorrect estimates without notice. Therefore, these algorithms are undesirable ... WebSep 9, 2024 · In this paper, we systematize certifiably robust approaches and related practical and theoretical implications and findings. We also provide the first comprehensive benchmark on existing robustness verification and training approaches on different datasets. In particular, we 1) provide a taxonomy for the robustness verification and training ... josh horsthuis

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WebDec 7, 2024 · “The only thing you need is a neural network represented as a compute graph, and with just a couple of lines of code you can find out how robust it would be. And while training the DNN, you can preemptively take these guarantees into account and can design your DNN to be certifiably robust.” WebOct 17, 2024 · This paper provides the first general framework, Certifiably Robust Federated Learning (CRFL), to train certifiably robust FL models against backdoors. Our method exploits clipping and smoothing on model parameters to control the global model smoothness, which yields a sample-wise robustness certification on backdoors with … WebThe threat of adversarial examples has motivated work on training certifiably robust neural networks to facilitate efficient verification of local robustness at inference time. We formalize a notion of global robustness, which captures the operational properties of on-line local robustness certification while yielding a natural learning ... how to let your cat outside