# Evaluating Data Poisoning Resilience of Large Language Models for Cybersecurity Applications

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluating-data-poisoning-resilience-of-large-language-models-for-cybersecurity/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Navjot Kaur,Nityanand Kumar,shivangi shekhar,Ch.Rajendra Prasad,Mohit Garg,Meenakshi Munjal |
| Citations | 0 |
| DOI | 10.1109/aimlcps68702.2026.11542453 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7163872626 |
| Type | conference-paper |
| Year | 2026 |

## Paper authors

- [Ch.Rajendra Prasad](https://scholariq.org/researchers/ch-rajendra-prasad/)

## Paper primary topic

- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)

## Paper topics

- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Information and Cyber Security](https://scholariq.org/topics/information-and-cyber-security/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.