UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: In brain–computer interface (BCI) applications, imagined speech (IMS) decoding based on electroencephalogram (EEG) has established a new neuro-paradigm that offers an intuitive communication ...
iCloud Calendar invites are being abused to send callback phishing emails disguised as purchase notifications directly from Apple's email servers, making them more likely to bypass spam filters to ...
This project classifies SMS messages as spam or ham using a PyTorch logistic regression model with a bag-of-words representation, including train/validation/test split, performance evaluation ...
Abstract: Phishing attacks have become a persistent and evolving threat in the digital landscape, exploiting human and system vulnerabilities to compromise sensitive data. Traditional phishing ...