arXiv Machine Learning July 23, 2026 By Kwangho Kim

Data-Poisoning Audits for Causal Effect Estimation

Read the original on arXiv Machine Learning →

arXiv:2607. 19692v1 Announce Type: cross 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.

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llms reinforcement-learning fine-tuning

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robotics safety

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