Tanusree Sharma and Lili Dudas, The Pennsylvania State University
This talk presents V.O.I.C.E - a taxonomy of voice generation risk grounded in a multi-source threat modeling effort with 569 incidents from major AI incident database, FTC and Internet Crime Complaint Center (IC3); direct incident reports from U.S. based participants across diverse groups (including voice actors, internet personalities, political personnel, and general public); and 2,221 Reddit discussions. This taxonomy explicitly models how risk varies with contextual factors such as degree of voice exposure, social visibility, and the availability of legal protections for various affected groups. The goal of this talk is to translate this complex risk landscape into clear, actionable insights for organizations and policymakers.
Tanusree Sharma is an assistant professor at Pennsylvania State University. Her work explores the synergy between security and privacy, design engineering and AI safety. Her research examine the question around - How can we design secure systems that improve the quality of human interaction and human data authenticity in digital ecosystems? Tanusree's current work is supported by Meta, Google and OpenAI.
Lili Dudas is a 1st year PhD student at Penn State University, studying Informatics with an interest in privacy, governance, and the intersection of social systems and data. She graduated with a MI and B.A. in Information Technology and Informatics from Rutgers University.
author = {Tanusree Sharma and Lili Dudas},
title = {{V.O.I.C.E.}: A {Data-Driven} Risk Taxonomy for Synthetic Voice Generation},
year = {2026},
address = {Santa Clara, CA},
publisher = {USENIX Association},
month = jun
}