There are no reviews yet. Be the first to send feedback to the community and the maintainers!
robust-ood-detection
Robust Out-of-distribution Detection in Neural Networksinformative-outlier-mining
We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.robust-attribution-regularization
Robust Attribution Regularizationself-training-ensembles
Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical analysis and state-of-the-art performance.pixel-discretization
Pixel discretization defense against adversarial attacksadvex
eval-transductive-robustness
Exploring evaluating the adversarial robustness of transductive-learning based defenses.stratified-adv-rej
Study adversarially-robust classification with rejection where rejection has cost monotonically non-increasing in the perturbation magnitude, and propose a novel defense method with strong performance.Love Open Source and this site? Check out how you can help us