Apr 20, 2022
Missingness Bias in Model Debugging
We demonstrate how current missingness approximations introduce biases into model debugging.
Feb 2, 2022
Predicting Predictions with Datamodels
In the first part of our datamodels series, we introduce datamodeling and its (linear) instantiation on CIFAR-10.
Dec 3, 2021
Editing a Classifier
We develop a methodology for directly editing the predictions rules of a pre-trained classifier with virtually no additional data collection.
Oct 17, 2021
Combining Diverse Feature Priors
We explore how a diverse set of feature priors can be leveraged to improve model generalization.
Oct 14, 2021
Certified Patch Robustness Via Smoothed Vision Transformers (Part 2)
We demonstrate how vision transformers lead to strong certified patch defenses with standard accuracy and inference times comparable to standard (non-robust) models.
Oct 14, 2021
Certified Patch Robustness Via Smoothed Vision Transformers (Part 1)
We give an overview of smoothing-based defenses for certified robustness to adversarial attacks, and how it can be used to defend against adversarial patches.
Jun 8, 2021
3DB: A Framework for Debugging Vision Models
We introduce 3DB, an easy-to-use and extensible framework for debugging vision models with 3D rendering.
May 12, 2021
Debuggable Deep Networks: Usage and Evaluation (Part 2)
We show how debuggable deep networks are more amenable to human interpretation while enabling the discovery of unexpected model behaviors.
