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An Adversarial Risk Analysis Framework for Batch Acceptance Problems

We provide an adversarial risk analysis framework for batch acceptance problems in which a decision maker relies exclusively on the size of the batch to accept or reject its admission to a system, albeit being aware of the presence of an opponent. The adversary acts as a data-fiddler attacker perturbing the observations perceived by the decision maker through injecting faulty items and/or modifying the existing items to faulty ones. We develop optimal policies against this combined attack strategy and illustrate the methodology with a review spam example.

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Informasi Detail

Judul Seri

DECISION ANALYSIS; Vol.18 No.1 March 2021

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 25 - 40

Bahasa

English

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

SECURITY
DATA MANIPULATION
ADVERSARIAL HYPOTHESIS TESTING
REVIEW SPAM

Info Detail Spesifik

https://doi.org/10.1287/deca.2020.0420

Pernyataan Tanggungjawab

Jorge González-Ortega, Refik Soyer, David Ríos Insua, Fabrizio Ruggeri

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