17 citations · 27 across the 5 of their papers we have counts for
6 papers
UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring
Waleed A. Yousef, Issa Traore, William Briguglio
The visualization and detection of anomalies (outliers) are of crucial importance to many fields, particularly cybersecurity. Several approaches have been proposed in these fields,…
Machine Learning in Precision Medicine to Preserve Privacy via Encryption
William Briguglio, Parisa Moghaddam, Waleed A. Yousef +2
Precision medicine is an emerging approach for disease treatment and prevention that delivers personalized care to individual patients by considering their genetic makeups, medical…
Classifier Calibration: with application to threat scores in cybersecurity
Waleed A. Yousef, Issa Traore, William Briguglio
This paper explores the calibration of a classifier output score in binary classification problems. A calibrator is a function that maps the arbitrary classifier score, of a testin…
Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
William Briguglio, Sherif Saad
In cyberattack detection and prevention systems, cybersecurity analysts always prefer solutions that are as interpretable and understandable as rule-based or signature-based detect…
JSLess: A Tale of a Fileless Javascript Memory-Resident Malware
Sherif Saad, Farhan Mahmood, William Briguglio +1
New computing paradigms, modern feature-rich programming languages and off-the-shelf software libraries enabled the development of new sophisticated malware families. Evidence of t…
The Curious Case of Machine Learning In Malware Detection
Sherif Saad, William Briguglio, Haytham Elmiligi
In this paper, we argue that machine learning techniques are not ready for malware detection in the wild. Given the current trend in malware development and the increase of unconve…