Priscila Silva

Orcid: 0000-0002-1416-2719

According to our database1, Priscila Silva authored at least 13 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A predictive system resilience assessment tool (PSRAT).
SoftwareX, 2026

Predicting Software Defect Discovery Incorporating Covariates with Recurrent Neural Networks.
Qual. Reliab. Eng. Int., 2026

Resilience Estimation of Radar Systems.
Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, 2026

2025
Regression and Time Series Mixture Approaches to Predict System Performance and Assess Resilience.
IEEE Trans. Reliab., September, 2025

Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability.
CoRR, February, 2025

A Repair-Time Trigger for Cyberattack Classifiers.
Proceedings of the IEEE Military Communications Conference, 2025

2024
varMax: Towards Confidence-Based Zero-Day Attack Recognition.
Proceedings of the IEEE Military Communications Conference, 2024

Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Reliability Evaluation of CNN-enabled Systems in Adversarial Scenarios.
Proceedings of the International Conference on Assured Autonomy, 2024

2023
Predicting Resilience with Neural Networks.
CoRR, 2023

Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems.
Proceedings of the NOMS 2023, 2023

2022
Covariate Software Vulnerability Discovery Model to Support Cybersecurity Test & Evaluation (Practical Experience Report).
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Predictive Resilience Modeling.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022


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