39 citations · 40 across the 5 of their papers we have counts for
3 papers
cs.CV2025
Detecting Deepfake Talking Heads from Facial Biometric Anomalies
Justin D. Norman, Hany Farid
The combination of highly realistic voice cloning, along with visually compelling avatar, face-swap, or lip-sync deepfake video generation, makes it relatively easy to create a vid…
cs.CL2025
The Case for Repeatable, Open, and Expert-Grounded Hallucination Benchmarks in Large Language Models
Justin D. Norman, Michael U. Rivera, D. Alex Hughes
Plausible, but inaccurate, tokens in model-generated text are widely believed to be pervasive and problematic for the responsible adoption of language models. Despite this concern,…
cs.CY2024★ 39 cited
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention
Cedric Deslandes Whitney, Justin Norman
Machine learning systems require representations of the real world for training and testing - they require data, and lots of it. Collecting data at scale has logistical and ethical…