Farzana Ahamed Bhuiyan

Orcid: 0000-0002-0261-2196

According to our database1, Farzana Ahamed Bhuiyan authored at least 14 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Log-related Coding Patterns to Conduct Postmortems of Attacks in Supervised Learning-based Projects.
ACM Trans. Priv. Secur., May, 2023

2022
Design and Implementation of a Feasible Model for the IoT Based Ubiquitous Healthcare Monitoring System for Rural and Urban Areas.
IEEE Access, 2022

Towards Automation for MLOps: An Exploratory Study of Bot Usage in Deep Learning Libraries.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Shifting Left for Machine Learning: An Empirical Study of Security Weaknesses in Supervised Learning-based Projects.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Security Bug Report Usage for Software Vulnerability Research: A Systematic Mapping Study.
IEEE Access, 2021

Practitioner Perception of Vulnerability Discovery Strategies.
Proceedings of the 2nd IEEE/ACM International Workshop on Engineering and Cybersecurity of Critical Systems, 2021

2020
XI Commandments of Kubernetes Security: A Systematization of Knowledge Related to Kubernetes Security Practices.
Proceedings of the IEEE Secure Development, SecDev 2020, Atlanta, GA, USA, 2020

A vision to mitigate bioinformatics software development challenges.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2020

Vulnerability discovery strategies used in software projects.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2020

Characterizing co-located insecure coding patterns in infrastructure as code scripts.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2020

Can we use software bug reports to identify vulnerability discovery strategies?
Proceedings of the 7th Annual Symposium on Hot Topics in the Science of Security, 2020

Uncertainty Quantification in Multimodal Ensembles of Deep Learners.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019
Gene Selection and Clustering of Breast Cancer Data.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019


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