jfc43/robust-attribution-regularization

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jfc43/robust-attribution-regularization

jfc43

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Robust Attribution Regularization

robust-ood-detection

Robust Out-of-distribution Detection in Neural Networks

informative-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.

self-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 attacks

advex

Jupyter Notebook

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.

Low-Precision-SGD-and-Tree-Boosting

Project for Course CS 744 Big Data System