65 citations · 114 across the 7 of their papers we have counts for
4 papers · 1 filter
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh, Daniel Lowd
Good models require good training data. For overparameterized deep models, the causal relationship between training data and model predictions is increasingly opaque and poorly und…
Reducing Certified Regression to Certified Classification for General Poisoning Attacks
Zayd Hammoudeh, Daniel Lowd
Adversarial training instances can severely distort a model's behavior. This work investigates certified regression defenses, which provide guaranteed limits on how much a regresso…
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd
Influence estimation analyzes how changes to the training data can lead to different model predictions; this analysis can help us better understand these predictions, the models ma…
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation
Zayd Hammoudeh, Daniel Lowd
Targeted training-set attacks inject malicious instances into the training set to cause a trained model to mislabel one or more specific test instances. This work proposes the task…