Md Tanvirul Alam

Orcid: 0000-0003-4284-2743

According to our database1, Md Tanvirul Alam authored at least 20 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
Beyond Perception Errors: Semantic Fixation in Large Vision-Language Models.
CoRR, April, 2026

Training for Trustworthy Saliency Maps: Adversarial Training Meets Feature-Map Smoothing.
CoRR, March, 2026

Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs.
CoRR, February, 2026

2025
SPHINX: A Synthetic Environment for Visual Perception and Reasoning.
CoRR, November, 2025

Adapting Large Language Models to Emerging Cybersecurity using Retrieval Augmented Generation.
CoRR, October, 2025

Towards Understanding Self-play for LLM Reasoning.
CoRR, October, 2025

Limits of Generalization in RLVR: Two Case Studies in Mathematical Reasoning.
CoRR, October, 2025

Assessing Effective Token Length of Multimodal Models for Text-to-Image Retrieval.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection.
Proceedings of the 28th International Symposium on Research in Attacks, 2025

R+R: Revisiting Static Feature-Based Android Malware Detection Using Machine Learning.
Proceedings of the IEEE Annual Computer Security Applications Conference, 2025

AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence.
Proceedings of the Annual Computer Security Applications Conference, 2025

2024
Revisiting Static Feature-Based Android Malware Detection.
CoRR, 2024

SECURE: Benchmarking Generative Large Language Models for Cybersecurity Advisory.
CoRR, 2024

MORPH: Towards Automated Concept Drift Adaptation for Malware Detection.
CoRR, 2024

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Actionable Cyber Threat Intelligence Using Knowledge Graphs and Large Language Models.
Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

PASA: Attack Agnostic Unsupervised Adversarial Detection Using Prediction & Attribution Sensitivity Analysis.
Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

SECURE: Benchmarking Large Language Models for Cybersecurity.
Proceedings of the Annual Computer Security Applications Conference, 2024

2023
Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI.
Proceedings of the 26th International Symposium on Research in Attacks, 2023

2022
CyNER: A Python Library for Cybersecurity Named Entity Recognition.
CoRR, 2022


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