WebWe aim to defend against such attacks via developing certifiably robust GNNs. Specifically, we prove the first certified robustness guarantee of any GNN for both node and graph classifications against structural perturbation. Moreover, we show that our certified robustness guarantee is tight. Our results are based on a recently proposed ... WebIn 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 ...
CRFL: Certifiably Robust Federated Learning against …
WebJul 1, 2024 · This paper provides the first general framework, Certifiably Robust Federated Learning (CRFL), to train certifiably robust FL models against backdoors. Our method … WebQuantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks [58.195261590442406] 我々は、逆向きに頑健な量子化ニューラルネットワーク(QNN)の訓練と証明の課題について検討する。 近年の研究では、浮動小数点ニューラルネットワークが量子化 ... lighthouse movers review
NeurIPS 2024
WebSmoothing is the only approach to certifiably robust classification which has been shown feasible on full-resolution ImageNet. On smaller-scale datasets where competing approaches to certified L2 robustness are viable, smoothing delivers higher certified accuracies. The empirical success of the approach suggests that provable methods … WebJun 6, 2024 · We find that the simple federated averaging technique is effective in building not only more accurate, but also more certifiably-robust models, compared to training solely on local data. We further analyze personalization, a popular technique in federated training that increases the model's bias towards local data, on robustness. Webcertifiable: [adjective] capable of being certified. genuine, authentic. lighthouse movie 2021