arXiv stat.ML
· Papers
Data-Poisoning Audits for Causal Effect Estimation
arXiv:2607.19692v1 Announce Type: new Abstract: Observational causal analyses increasingly pool records across sites, vendors, and collection systems, creating vulnerability to append-only attacks in which plausible records are strategically selected to alter a reported treatment effect. We develop a data-poisoning aud