robust model

Adversarially Robust Multi-task Representation Learning NeurIPS 2024 Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients ICML 2024 Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off ECCV 2024 L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024 MALT Powers Up Adversarial Attacks NeurIPS 2024 Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023 Extracting Robust Models with Uncertain Examples ICLR 2023 Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023 Robust Models Are More Interpretable Because Attributions Look Normal ICML 2022 Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ACL 2021 Generating Deep Networks Explanations with Robust Attribution Alignment ACML 2021 Learnable Boundary Guided Adversarial Training ICCV 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Understanding Failures of Deep Networks via Robust Feature Extraction CVPR 2021 Learning Robust Models for e-Commerce Product Search ACL 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network ICLR 2019 Towards Robust and Privacy-preserving Text Representations ACL 2018