3 citations · 5 across the 4 of their papers we have counts for
4 papers
Pitch Imperfect: Detecting Audio Deepfakes Through Acoustic Prosodic Analysis
Kevin Warren, Daniel Olszewski, Seth Layton +3
Audio deepfakes are increasingly in-differentiable from organic speech, often fooling both authentication systems and human listeners. While many techniques use low-level audio fea…
Analyzing the AI Nudification Application Ecosystem
Cassidy Gibson, Daniel Olszewski, Natalie Grace Brigham +5
Given a source image of a clothed person (an image subject), AI-based nudification applications can produce nude (undressed) images of that person. Moreover, not only do such appli…
Every Breath You Don't Take: Deepfake Speech Detection Using Breath
Seth Layton, Thiago De Andrade, Daniel Olszewski +3
Deepfake speech represents a real and growing threat to systems and society. Many detectors have been created to aid in defense against speech deepfakes. While these detectors impl…
Efficient Malware Analysis Using Metric Embeddings
Ethan M. Rudd, David Krisiloff, Scott Coull +3
In this paper, we explore the use of metric learning to embed Windows PE files in a low-dimensional vector space for downstream use in a variety of applications, including malware…