On February 25, the Intelligence Advanced Research Projects Activity (IARPA released the broad agency announcement (BAA) for the Human Interpretable Attribution of Text using Underlying Structure (HIATUS) Program (IARPA-BAA-22-01). Questions are due by 5:00 p.m. Eastern on March 18, and Proposals are due by 4:00 p.m. Eastern on April 18.

The HIATUS program seeks to develop novel human-useable systems for attributing authorship and protecting author privacy through identification and leveraging of explainable linguistic fingerprints. HIATUS Performers will focus on three task areas (TAs). The program will develop novel methods to generate a stylistic feature space in which each author is represented in stable fashion across diverse text types (TA1). Using this feature space, the program will also create human-interpretable algorithms for authorship attribution (TA2) and author privacy (TA3). Technical approaches must scale to other languages.

Authorship attribution is an important capability for the Intelligence Community (IC), facilitating efforts to understand and combat increasingly sophisticated malicious information campaigns online, fight human trafficking, identify counterintelligence risks, etc. Authorship privacy (also known as “authorship obfuscation”) refers to technology and methods for modifying text to remove features predictive of a specific author. Authorship privacy technologies have a wide variety of uses including protection of individuals and groups whose writing, if attributed, could place them in personal danger.

HIATUS addresses the limitations in currently available authorship attribution and authorship privacy techniques. HIATUS addresses these limitations by developing automated, human interpretable systems that maximize use of the linguistic feature space and provide robust performance across diverse genres, topic domains and languages.

Review the HIATUS BAA.

Source: SAM

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