certifiable robustness

Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs AAAI 2026 1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024 A Recipe for Improved Certifiable Robustness ICLR 2024 FedGMark: Certifiably Robust Watermarking for Federated Graph Learning NeurIPS 2024 Naive Bayes Classifiers over Missing Data: Decision and Poisoning ICML 2024 Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication ICLR 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 CerDEQ: Certifiable Deep Equilibrium Model ICML 2022 Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness ICML 2022 Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NeurIPS 2022 RoboGNN: Robustifying Node Classification under Link Perturbation IJCAI 2022 Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022 Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021 Bayesian Inference with Certifiable Adversarial Robustness AISTATS 2021 Globally-Robust Neural Networks ICML 2021 PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021 Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples NeurIPS 2021 Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness ICML 2020 Certifiable Robustness to Graph Perturbations NeurIPS 2019 Differentiable Abstract Interpretation for Provably Robust Neural Networks ICML 2018