𝗦𝗲𝗰𝗼𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗼𝗻 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 (𝗡𝗟𝗣𝗔𝗜𝗖𝗦’𝟮𝟬𝟮𝟲)

University of Alicante, Alicante, Spain

11 and 12 June 2026

https://nlpaics2026.gplsi.es/

𝗙𝗶𝗿𝘀𝘁 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀

Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performance of applications. In particular, there has been a growing interest in employing AI methods in different Cyber Security applications.

In today's digital world, Cyber Security has emerged as a heightened priority for both individual users and organisations. As the volume of online information grows exponentially, traditional security approaches often struggle to identify and prevent evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape for ensuring robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real-time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify Cyber Security systems, the Second International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICS’2026) continues the tradition from NLPAICS’2024 to be a gathering place for researchers in NLP and AI methods for Cyber Security. We invite contributions that present the latest NLP and AI solutions for mitigating risks in processing digital information.

𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝘁𝗼𝗽𝗶𝗰𝘀

The conference invites submissions on a broad range of topics related to the employment of NLP and AI (and in general, language studies and models) for Cyber Security including but not limited to:

- 𝘚𝘰𝘤𝘪𝘦𝘵𝘢𝘭 𝘢𝘯𝘥 𝘏𝘶𝘮𝘢𝘯 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘢𝘯𝘥 𝘚𝘢𝘧𝘦𝘵𝘺 - Content Legitimacy and Quality - Detection and mitigation of hate speech and offensive language - Fake news, deepfakes, misinformation and disinformation - Detection of machine generated language in multimodal context (text, speech and gesture) - Trust and credibility of online information - User Security and Safety - Cyberbullying and identification of internet offenders - Monitoring extremist fora - Suicide prevention - Clickbait and scam detection - Fake profile detection in online social networks - Technical Measures and Solutions - Social engineering identification, phishing detection - NLP for risk assessment - Controlled languages for safe messages - Prevention of malicious use of ai models - Forensic linguistics - Human Factors in Cyber Security

- 𝘚𝘱𝘦𝘦𝘤𝘩 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘢𝘯𝘥 𝘔𝘶𝘭𝘵𝘪𝘮𝘰𝘥𝘢𝘭 𝘐𝘯𝘷𝘦𝘴𝘵𝘪𝘨𝘢𝘵𝘪𝘰𝘯𝘴 𝘧𝘰𝘳 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 - Voice-based security: Analysis of voice recordings or transcripts for security threats - Detection of machine generated language in multimodal context (text, speech and gesture) - NLP and biometrics in multimodal context

- 𝘋𝘢𝘵𝘢 𝘢𝘯𝘥 𝘚𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 - Cryptography - Digital forensics - Malware detection, obfuscation - Models for documentation - NLP for data privacy and leakage prevention (DLP) - Addressing dataset “poisoning” attacks

- 𝘏𝘶𝘮𝘢𝘯-𝘊𝘦𝘯𝘵𝘳𝘪𝘤 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘢𝘯𝘥 𝘚𝘶𝘱𝘱𝘰𝘳𝘵 - Natural language understanding for chatbots: NLP-powered chatbots for user support and security incident reporting - User behaviour analysis: analysing user-generated text data (e.g., chat logs and emails) to detect insider threats or unusual behaviour - Human supervision of technology for Cyber Security

- 𝘈𝘯𝘰𝘮𝘢𝘭𝘺 𝘋𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘛𝘩𝘳𝘦𝘢𝘵 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦 - Text-Based Anomaly Detection - Identification of unusual or suspicious patterns in logs, incident reports or other textual data - Detecting deviations from normal behaviour in system logs or network traffic - Threat Intelligence Analysis - Processing and analysing threat intelligence reports, news, articles and blogs on latest Cyber Security threats - Extracting key information and indicators of compromise (IoCs) from unstructured text

- 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 𝘢𝘯𝘥 𝘐𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 - Systems Security - Anti-reverse engineering for protecting privacy and anonymity - Identification and mitigation of side-channel attacks - Authentication and access control - Enterprise-level mitigation - NLP for software vulnerability detection - Malware Detection through Code Analysis - Analysing code and scripts for malware - Detection using NLP to identify patterns indicative of malicious code

- 𝘍𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 - Financial fraud detection - Financial risk detection - Algorithmic trading security - Secure online banking - Risk management in finance - Financial text analytics

- 𝘌𝘵𝘩𝘪𝘤𝘴, 𝘉𝘪𝘢𝘴, 𝘢𝘯𝘥 𝘓𝘦𝘨𝘪𝘴𝘭𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 - Ethical and Legal Issues - Digital privacy and identity management - The ethics of NLP and speech technology - Explainability of NLP and speech technology tools - Legislation against malicious use of AI - Regulatory issues - Bias and Security - Bias in Large Language Models (LLMs) - Bias in security related datasets and annotations

- 𝘋𝘢𝘵𝘢𝘴𝘦𝘵𝘴 𝘢𝘯𝘥 𝘙𝘦𝘴𝘰𝘶𝘳𝘤𝘦𝘴 𝘧𝘰𝘳 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴

- 𝘚𝘱𝘦𝘤𝘪𝘢𝘭𝘪𝘴𝘦𝘥 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 𝘢𝘯𝘥 𝘖𝘱𝘦𝘯 𝘛𝘰𝘱𝘪𝘤s - Intelligence applications - Emerging and innovative applications in Cyber Security

𝘚𝘱𝘦𝘤𝘪𝘢𝘭 𝘛𝘩𝘦𝘮𝘦 𝘛𝘳𝘢𝘤𝘬 - 𝘍𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘪𝘯 𝘵𝘩𝘦 𝘌𝘳𝘢 𝘰𝘧 𝘓𝘓𝘔𝘴 𝘢𝘯𝘥 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐

NLPAICS 2026 will feature a special theme track with the goal of stimulating discussion around Large Language Models (LLMs), Generative AI and ensuring their safety. The latest generation of LLMs, such as CHATGPT, Gemini, DeepSeek, LLAMA and open-source alternatives, has showcased remarkable advancements in text and image understanding and generation. However, as we navigate through uncharted territory, it becomes imperative to address the challenges associated with employing these models in everyday tasks, focusing on aspects such as fairness, ethics, and responsibility. The theme track invites studies on how to ensure the safety of LLMs in various tasks and applications and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following: • Detection of LLM-generated language in multimodal context (text, speech and gesture) • LLMs for forensic linguistics • Bias in LLMs • Safety benchmarks for LLMs • Legislation against malicious use of LLMs • Tools to evaluate safety in LLMs • Methods to enhance the robustness of language models

𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 NLPAICS welcomes high-quality submissions in English, which can take two forms: • Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work. • Short (poster) papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, ongoing research, negative results, system demonstrations, etc. Short papers will be presented as part of a poster session.

The conference will not consider and evaluate abstracts only.

Accepted papers, including both long and short papers, will be published as e-proceedings with ISBN will available online on the conference website at the time of the conference and are expected to be uploaded into the ACL Anthology.

Further details on the submission procedure will be made available in the Second Call for Papers due in October 2025.

The conference will feature a student workshop and awards will be offered to the authors of best papers.

𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗱𝗮𝘁𝗲𝘀 • Submissions due: 16 March 2026 • Reviewing process: 1 April – 30 April 2026 • Notification of acceptance: 5 May 2026 • Camera-ready due: 19 May 2026 • Conference camera-ready proceedings ready 1 June 2026 • Conference: 11-12 June 2026

𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝙲̲𝚘̲𝚗̲𝚏̲𝚎̲𝚛̲𝚎̲𝚗̲𝚌̲𝚎̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲𝚜̲ ̲ Ruslan Mitkov (University of Alicante) Rafael Muñoz (University of Alicante)

𝙿̲𝚛̲𝚘̲𝚐̲𝚛̲𝚊̲𝚖̲𝚖̲𝚎̲ ̲𝙲̲𝚘̲𝚖̲𝚖̲𝚒̲𝚝̲𝚝̲𝚎̲𝚎̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲𝚜̲ Elena Lloret (University of Alicante) Tharindu Ranasinghe (Lancaster University)

𝙿̲𝚞̲𝚋̲𝚕̲𝚒̲𝚌̲𝚊̲𝚝̲𝚒̲𝚘̲𝚗̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲ Ernesto Estevanell (University of Alicante)

𝚂̲𝚙̲𝚘̲𝚗̲𝚜̲𝚘̲𝚛̲𝚜̲𝚑̲𝚒̲𝚙̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲ Andres Montoyo (University of Alicante)

𝚂̲𝚝̲𝚞̲𝚍̲𝚎̲𝚗̲𝚝̲ ̲𝚆̲𝚘̲𝚛̲𝚔̲𝚜̲𝚑̲𝚘̲𝚙̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲ Salima Lamsiyah (University of Luxembourg)

𝙱̲𝚎̲𝚜̲𝚝̲ ̲𝙿̲𝚊̲𝚙̲𝚎̲𝚛̲ ̲𝙰̲𝚠̲𝚊̲𝚛̲𝚍̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲ Saad Ezzini (King Fahd University of Petroleum & Minerals)

𝙿̲𝚞̲𝚋̲𝚕̲𝚒̲𝚌̲𝚒̲𝚝̲𝚢̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲ Beatriz Botella (University of Alicante)

𝚂̲𝚘̲𝚌̲𝚒̲𝚊̲𝚕̲ ̲𝙿̲𝚛̲𝚘̲𝚐̲𝚛̲𝚊̲𝚖̲𝚖̲𝚎̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲ Alba Bonet (University of Alicante)

𝗩𝗲𝗻𝘂𝗲 The Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2026) will take place at the University of Alicante and is organised by the University of Alicante GPLSI research group.

Further information and contact details

The follow-up calls will list keynote speakers and members of the programme committee once confirmed.

The conference website is https://nlpaics2026.gplsi.es/ and will be updated on a regular basis. For further information, please email nlpaics2026@dlsi.ua.es

Registration will open in February 2026.

Best Regards Tharindu Ranasinghe

Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science School of Computing and Communications | Lancaster University Contact me on Teamshttps://teams.microsoft.com/l/chat/0/0?users=t.ranasinghe@lancaster.ac.uk www.lancaster.ac.ukhttps://www.lancaster.ac.uk/