Show HN: Keystroke Biometrics Demo

Zacharie Rodière, a recent MS ECE graduate from Georgia Tech, released a keystroke biometrics demo through his startup BehavLabs, featuring two-player and 3+ player modes for continuous authentication. The model, trained on mostly open-access data, aims to identify users by typing patterns, with modes for comparing similarity and detecting which user typed a prompt.

Hi HN community, My name is Zacharie Rodière emphasis on the accent , a recent MS ECE graduate from Georgia Tech, originally from France. Since my graduation, I decided to work on a startup in the field of continuous authentication and behavioral AI. The name of my company is BehavLabs. I recently released our first continuous auth demo using keystroke biometrics. The model is trained on mostly open-access data but I can't much discuss the model architecture here if any ML engineers want to discuss it privately feel free to reach out . The demo consists of two modes: a two-player mode where two people face off and the model tries to guess if the people are different or the same, and a 3+ player mode with 'compare' and 'detect' modalities. In compare mode you get a similarity matrix showing the model's similarity score for each user pair. In detect mode, each user types a prompted excerpt, then one of the n users types a final prompt, and the model tries to guess who typed the final prompt. I'd say the model works pretty well even if we're not at 100% accuracy yet. I'd love y'alls feedback on it, whether it's about the ML, UI or security front. Comments URL: https://news.ycombinator.com/item?id=49353290 https://news.ycombinator.com/item?id=49353290 Points: 1 Comments: 0