📰 International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security 2026: all accepted papers

27 papers · the most cited first · ← International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security 2026

1. A Linguistic Analysis of Prompt Injection in Large Language Models ↗Priscilla Adenuga
2. A Neuro-Cyber Exploitation and Reconnaissance Taxonomy (NeuroCERT) for Human-Centric Cybersecurity ↗Cengiz Acarturk, Melike Çağlayan, Ece Caglayan et al.
3. Analysing Self-Harm Representations in Language Models: a Cross-Architecture Study ↗Luis Espinosa Anke, Carla Perez Almendros
4. Bloc-Conditional Event States: Measuring Cross-Coverage Divergence for Threat-Intelligence Analysis ↗Maryam Fooladi, Federico Bottino
5. CSULoRA: Closest Safe Update Low-Rank AdaptationOleksandr Marchenko, Adelaide Danilov, Aria Nourbakhsh et al.our summary
6. Code Without Context: Can We Trust LLMs to Test Software from Informal Descriptions? ↗Amneh Al Abdi, Saad Ezzini
7. Command-Line Obfuscation Detection in Real-World Telemetry under Extreme Class ImbalanceVojtěch Outrata, Barbora Štěpánková, Michael Adam Polák et al.our summary
8. Does Hate Transfer? Cross-Lingual Generalisation of Offensive Content Detection Across Indic LanguagesPurandhar M. Reddy, Sara Renjitour summary
9. Exploring Cross-Lingual Transfer in Transformer-Based Fraud Detection ModelsIván Martínez Murillo, Robiert Sepúlveda-Torres, Juan Pablo Consuegra-Ayalaour summary
10. Exploring the Manifestation of Schwartz's Basic Human Values in Large Language Models ↗Ryan Hyland, Lewis Newsham, Daniel Prince
11. Fine-Tuning Small Language Models for Cybersecurity: Data Ordering, Knowledge Distillation, and the Educator Effect ↗Ozkan Kilic, Raja Soundaramourty, Ramu Chenchaiah
12. From Decision Tree to Detection Pipeline: Formalizing van Dijk's Socio-Cognitive Framework for Automated Anti-Language Identification in RICO TranscriptsElena Morandiniour summary
13. From Detection to Attribution: Forensic Linguistics and Adversarial Red Teaming as Complementary Responses to LLM MisuseRui Sousa-Silvaour summary
14. Grieve-JA: A Psycholinguistic Dictionary for Grievance-Fuelled Language in Japanese ↗Emilie Francis
15. How Well Do Commodity Text-to-Speech Systems Evade Acoustic Perturbation Detection? A Multi-Engine Evaluation Across 21 LanguagesAnatoly Marchenkoour summary
16. Judging the LLM Judges: A Human-Centric Validation of LLM-Generated Training Data for Software Retrieval ↗Ogtay Hasanov, Saad Ezzini
17. LLM-based Defense Against Adversarial Abstracts in ML/AI Conference Reviewer Assignments ↗Mohamed Omar Cherif, Christophe Cerisara, Julien Falgas
18. LLMs in the Enterprise: A Systematic Review of Security Architectures for RAG-Augmented Chatbots ↗Fatimah A. Alali, Haya Aldawsari, Saad Ezzini et al.
19. Large-Scale Multilingual SMS Fraud Detection For Telecom Networks ↗Orlando Amaral Cejas, Yuejun Guo, Qiang Tang
20. OBSIDIAN: An OSINT-Driven NLP Framework for Detecting Cyber-Physical Threats in Arabic Social MediaAbdullah Saeed Almalki, Salmane Chafik, Saad Ezziniour summary
21. Partner Attribution Bias in LLM-Assisted Export Control Screening ↗Salem Alotaibi, Alexei Lisitsa, Antony McCabe
22. Pragmatic Profiling for Disinformation Detection: An Exploratory Analysis of Stylistic Features in Spanish News ↗Alba Perez-Montero, María Miró Maestre, Elena Lloret et al.
23. Privacy VITA: a new multilingual and multimodal annotated video corpus to evaluate anonymization systemsJorge Rico, Sofia Contreras, Enrique Manjavacas Arevalo et al.our summary
24. Semantic Clustering of Obfuscated Command-Line Detections for Alert ReductionBarbora Štěpánková, Vojtěch Outrata, Martin Koppour summary
25. The Human Attack Surface: Detecting Psychological Vulnerabilities to Cyber Threats using AI and Social Media ↗Aadil Gani Ganie, Saad Ezzini
26. Transformer-Assisted LLM-Based Source Code Summarisation: to Enable More Secure Software DevelopmentJesse Phillips, Tracy Hall, Paul Rayson et al.our summary
27. When Privacy Helps: Pseudonymisation as a Strategy for Improved Cyber Incident Classification ↗Loya C. Haughton, Eduardo Fidalgo, Rocío Alaiz-Rodríguez et al.

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