Catherine Ordun

Statistics is the tried and true way of evaluating the performance of a machine learning model. I wrote the material below about two years ago when I was in the thick of my PhD. It's a basic overview of many terms you'll hear over and over

I read an excellent paper this morning by Demir from Intel and Ciftci from Binghamtom University entitled How do Deepfakes Move? Motion Magnification for Deepfake Source Detection, published at CVPR. They also published FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals. The paper posits that by analyzing features of

I don't have to tell you that everything we see online nowadays is increasingly suspicious. In our age of Generative AI and jaw dropping Tik Tok filters, it's hard to know what's real or what's fake. Since my dissertation was focused on

I'm getting back into it after a holiday break and one of the most fascinating areas of AI research is Language Agents. I'm more of a computer vision person, so LLMs are not my bread and butter. But, I've grown increasingly interested in the