Abstract: Recent advancements in model inversion attacks have raised privacy concerns, exploiting access to models to reconstruct private training data from inputs and outputs. These attacks are ...

more understandable (better organization and clearer prose) more precise (defines vague or missing concepts from CSS2.1, defines undefined concepts from CSS2.1) generalized to handle vertical text ...

12 Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore Background Deep learning (DL) is promising to detect glaucoma. However, patients’ privacy ...

Abstract: Future wireless networks are expected to incorporate diverse services that often lack general mathematical models. To address such black-box network management tasks, the large language ...

A new Apple-supported study argues that your behavior data (movement, sleep, exercise, etc.) can often be a stronger health signal than traditional biometric measurements like heart rate or blood ...

You're not alone if it feels like it's been rather quiet on the AI front. We haven't had any major announcements recently from the main players in the industry, and something feels off. But that's ...

In recent years, numerous plaintiffs—including publishers of books, newspapers, computer code, and photographs—have sued AI companies for training models using copyrighted material. A key question in ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...

Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...