2 citations · 2 across the 3 of their papers we have counts for
3 papers
Building The Ph(ysical)AI Layer Of Machine Intelligence
Ulbert Jose Botero, Liam Smith, Brooks Olney +5
Foundation models achieve generalization through massive-scale training on diverse data, but have limitations with transfer to truly unseen domains without paired training data. We…
Framework for Automatic PCB Marking Detection and Recognition for Hardware Assurance
Olivia P. Dizon-Paradis, Daniel E. Capecci, Nathan T. Jessurun +3
A Bill of Materials (BoM) is a list of all components on a printed circuit board (PCB). Since BoMs are useful for hardware assurance, automatic BoM extraction (AutoBoM) is of great…
Lumen: A Machine Learning Framework to Expose Influence Cues in Text
Hanyu Shi, Mirela Silva, Daniel Capecci +4
Phishing and disinformation are popular social engineering attacks with attackers invariably applying influence cues in texts to make them more appealing to users. We introduce Lum…