39 citations · 40 across the 6 of their papers we have counts for
7 papers
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…
Reliability without Validity: A Systematic, Large-Scale Evaluation of LLM-as-a-Judge Models Across Agreement, Consistency, and Bias
Justin D. Norman, Michael U. Rivera, D. Alex Hughes
LLM-as-a-Judge has become the dominant evaluation paradigm for language models, but judge validation in practice relies on exact-match agreement, a metric that does not correct for…
Does Head Pose Correction Improve Biometric Facial Recognition?
Justin Norman, Hany Farid
Biometric facial recognition models often demonstrate significant decreases in accuracy when processing real-world images, often characterized by poor quality, non-frontal subject…
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…
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,…
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…
An Evaluation of Forensic Facial Recognition
Justin Norman, Shruti Agarwal, Hany Farid
Recent advances in machine learning and computer vision have led to reported facial recognition accuracies surpassing human performance. We question if these systems will translate…