activity
20222026
most citedCyNER: A Python Library for Cybersecurity Named Entity Recognition

24 citations · 43 across the 17 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

cs.CR2025

AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Md Tanvirul Alam, Dipkamal Bhusal, Salman Ahmad +2

Large Language Models (LLMs) have demonstrated strong capabilities in natural language reasoning, yet their application to Cyber Threat Intelligence (CTI) remains limited. CTI anal…

cs.CR2025★ 1 cited

Adapting Large Language Models to Emerging Cybersecurity using Retrieval Augmented Generation

Arnabh Borah, Md Tanvirul Alam, Nidhi Rastogi

Security applications are increasingly relying on large language models (LLMs) for cyber threat detection; however, their opaque reasoning often limits trust, particularly in decis…

cs.CR2024★ 1 cited

Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models

Romy Fieblinger, Md Tanvirul Alam, Nidhi Rastogi

Cyber threats are constantly evolving. Extracting actionable insights from unstructured Cyber Threat Intelligence (CTI) data is essential to guide cybersecurity decisions. Increasi…

cs.CR2024★ 8 cited

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen +1

Cyber threat intelligence (CTI) is crucial in today's cybersecurity landscape, providing essential insights to understand and mitigate the ever-evolving cyber threats. The recent r…

cs.CR2024★ 2 cited

SECURE: Benchmarking Large Language Models for Cybersecurity

Dipkamal Bhusal, Md Tanvirul Alam, Le Nguyen +7

Large Language Models (LLMs) have demonstrated potential in cybersecurity applications but have also caused lower confidence due to problems like hallucinations and a lack of truth…

cs.CR2024★ 5 cited

PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis

Dipkamal Bhusal, Md Tanvirul Alam, Monish K. Veerabhadran +3

Deep neural networks for classification are vulnerable to adversarial attacks, where small perturbations to input samples lead to incorrect predictions. This susceptibility, combin…

cs.CR2022★ 2 cited

Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI

Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park +1

Public and commercial organizations extensively share cyberthreat intelligence (CTI) to prepare systems to defend against existing and emerging cyberattacks. However, traditional C…

cs.CR2022★ 24 cited

CyNER: A Python Library for Cybersecurity Named Entity Recognition

Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park +1

Open Cyber threat intelligence (OpenCTI) information is available in an unstructured format from heterogeneous sources on the Internet. We present CyNER, an open-source python libr…