Zanis Ali Khan

Orcid: 0000-0002-3935-2148

According to our database¹, Zanis Ali Khan authored at least 10 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

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On csauthors.net:

Bibliography

2026

Evaluation of Multi-Language Vulnerability Patching with Pre-Trained Models.

[BibT_eX]

[DOI]

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities.

[BibT_eX]

[DOI]

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

2025

Evaluating Pre-Trained Models for Multi-Language Vulnerability Patching.

[BibT_eX]

[DOI]

CoRR, January, 2025

A Multi-dataset Evaluation of Models for Automated Vulnerability Repair.

[BibT_eX]

[DOI]

Zanis Ali Khan

Aayush Garg

Qiang Tang

Proceedings of the Availability, Reliability and Security, 2025

2024

Impact of log parsing on deep learning-based anomaly detection.

[BibT_eX]

[DOI]

Empir. Softw. Eng., November, 2024

2023

On log parsing and log-based anomaly detection: an empirical evaluation.

[BibT_eX]

[DOI]

Zanis Ali Khan

PhD thesis, 2023

Impact of Log Parsing on Log-based Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Replication package for "Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques".

[BibT_eX]

[DOI]

Dataset, January, 2022

Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

A Theoretical Framework for Understanding the Relationship Between Log Parsing and Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Runtime Verification - 21st International Conference, 2021

Zanis Ali Khan

Timeline

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Bibliography

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