Tags → #privacy vulnerabilities

Study Identifies Security Vulnerabilities in E-Scooter Systems

A recent study has identified significant security vulnerabilities in battery-powered embedded systems, particularly in e-scooters, highlighting risks associated with models like the Xiaomi M365 and ES3.
Dataset Pruning and Privacy Risks in Machine Learning

Dataset pruning, a technique aimed at optimizing dataset size while preserving machine learning performance, raises privacy concerns regarding the potential inference of sensitive information from excluded data.