Hypothesis Testing in Presence of Adversaries. Issue 1 (21st January 2021)

• Record Type: Journal Article
• Authors: González-Ortega, J.; Ríos Insua, D.; Ruggeri, F.; Soyer, R.
• Is Part Of: American statistician. Volume 75:Issue 1(2021)
• Page Start: 31
• Page End: 40
• Publication Date: 2021-01-21
• Subjects: Adversarial risk analysis -- Bayesian analysis -- Security -- Statistical decision theory; Statistics -- Periodicals; 001.42205
• DOI: 10.1080/00031305.2019.1630001
• Languages: English
• ISSNs: 0003-1305

Abstract

Abstract: We present an extension to the classical problem of hypothesis testing by incorporating actions of an adversary who intends to mislead the decision-maker and attain a certain benefit. After presenting the general problem within an adversarial statistical decision theory framework, we consider the cases of adversaries who can either perturb the data received or modify the underlying data-generating process parametrically. Supplemental materials for this article are available online.