Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis. - William Briguglio; Sherif Saad (FPS, 2019)

The Curious Case of Machine Learning in Malware Detection. - Sherif Saad; William Briguglio; Haytham Elmiligi (ICISSP, 2019)

JSLess: A Tale of a Fileless Javascript Memory-Resident Malware. - Sherif Saad; Farhan Mahmood; William Briguglio; Haytham Elmiligi (ISPEC, 2019)

Classifier Calibration: with implications to threat scores in cybersecurity. - Waleed A. Yousef; Issa Traoré; William Briguglio (CoRR, 2021)

Machine learning in precision medicine to preserve privacy via encryption. - William Briguglio; Parisa Moghaddam; Waleed A. Yousef; Issa Traoré; Mohammad Mamun 001 (Pattern Recognit. Lett., 2021)

UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. - Waleed A. Yousef; Issa Traoré; William Briguglio (IEEE Trans. Inf. Forensics Secur., 2021)

Classifier Calibration: With Application to Threat Scores in Cybersecurity. - Waleed A. Yousef; Issa Traoré; William Briguglio (IEEE Trans. Dependable Secur. Comput., 2023)

Federated Supervised Principal Component Analysis. - William Briguglio; Waleed A. Yousef; Issa Traoré; Mohammad Mamun 001 (IEEE Trans. Inf. Forensics Secur., 2024)

An Alternative Approach to Federated Learning for Model Security and Data Privacy. - William Briguglio; Waleed A. Yousef; Issa Traoré; Mohammad Mamun 001; Sherif Saad (ICISSP (1), 2025)