Predictive Resilience Modeling. - Priscila Silva (DSN (Supplements), 2022)

Covariate Software Vulnerability Discovery Model to Support Cybersecurity Test & Evaluation (Practical Experience Report). - Julia Sorrentino; Priscila Silva; Gaspard Baye; Gökhan Kul; Lance Fiondella (ISSRE, 2022)

Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems. - Gaspard Baye; Priscila Silva; Alexandre Broggi; Lance Fiondella; Nathaniel D. Bastian; Gökhan Kul (NOMS, 2023)

Predicting Resilience with Neural Networks. - Karen da Mata; Priscila Silva; Lance Fiondella (CoRR, 2023)

Reliability Evaluation of CNN-enabled Systems in Adversarial Scenarios. - Karen da Mata; Zakaria Faddi; Priscila Silva; Vidhyashree Nagaraju; Susmita Ghosh; Gökhan Kul; Lance Fiondella (ICAA, 2024)

Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems. - Priscila Silva; Gaspard Baye; Alexandre Broggi; Nathaniel D. Bastian; Gökhan Kul; Lance Fiondella (ICCCN, 2024)

varMax: Towards Confidence-Based Zero-Day Attack Recognition. - Gaspard Baye; Priscila Silva; Alexandre Broggi; Nathaniel D. Bastian; Lance Fiondella; Gökhan Kul (MILCOM, 2024)

Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability. - Simin Zheng; Jared M. Clark; Fatemeh Salboukh; Priscila Silva; Karen da Mata; Fenglian Pan; Jie Min; Jiayi Lian; Caleb B. King; Lance Fiondella; Jian Liu; Xinwei Deng; et al. (CoRR, 2025)