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20222026
most citedConfidence-Building Measures for Artificial Intelligence: Workshop Proceedings

13 citations · 19 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR2026

Audio Deepfake Detection Using Temporal Coherence Analysis

Justin D. Norman, Sarah Barrington

The proliferation of AI-generated audio (so-called "deepfake" audio) poses significant threats to information integrity, from voice cloning fraud to synthetic music copyright dispu…

cs.AI2026

The DeepSpeak-Agentic Dataset

Sarah Barrington, Maty Bohacek, Hany Farid

We present DeepSpeak-Agentic, a dataset of videos comprising over 37 hours of semi-structured conversations between a human and an embodied AI agent. We use this dataset to evaluat…

cs.HC2024★ 1 cited

People are poorly equipped to detect AI-powered voice clones

Sarah Barrington, Emily A. Cooper, Hany Farid

As generative artificial intelligence (AI) continues its ballistic trajectory, everything from text to audio, image, and video generation continues to improve at mimicking human-ge…

cs.CV2024★ 1 cited

The DeepSpeak Dataset

Sarah Barrington, Maty Bohacek, Hany Farid

Deepfakes represent a growing concern across domains such as disinformation, fraud, and non-consensual media. In particular, the rise of video conference and identity-driven attack…

cs.CY2023★ 13 cited

Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings

Sarah Shoker, Andrew Reddie, Sarah Barrington +20

Foundation models could eventually introduce several pathways for undermining state security: accidents, inadvertent escalation, unintentional conflict, the proliferation of weapon…

cs.SD2023

Single and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Features

Sarah Barrington, Romit Barua, Gautham Koorma +1

Synthetic-voice cloning technologies have seen significant advances in recent years, giving rise to a range of potential harms. From small- and large-scale financial fraud to disin…

cs.HC2023★ 1 cited

The Feasibility of Algorithmic Detection and Decentralised Moderation for Protecting Women from Online Abuse

Sarah Barrington

Online abuse is becoming an increasingly prevalent issue in modern-day society, with 41 percent of Americans having experienced online harassment in some capacity in 2021. People w…

cs.CR2022

The Fungibility of Non-Fungible Tokens: A Quantitative Analysis of ERC-721 Metadata

Sarah Barrington, Nick Merrill

Non-Fungible Tokens (NFTs), digital certificates of ownership for virtual art, have until recently been traded on a highly lucrative and speculative market. Yet, an emergence of mi…

cs.IR2022★ 3 cited

The Role of Metadata in Non-Fungible Tokens: Marketplace Analysis and Collection Organization

Sarah Barrington

An explosion of interest in Non-Fungible Tokens (NFTs) has led to the emergence of vibrant online marketplaces that enable users to buy, sell and create digital assets. Largely con…