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/

Third 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 to ensure 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 be available online on the conference website at the time of the conference and are expected to be uploaded into the ACL Anthology.

To prepare your submission, please make sure to use the NLPAICS 2026 style files available here:

LaTeX: NLPAICS_2026_LaTeX.zip [1]

Overleaf: https://www.overleaf.com/read/sgwmrzbmjfhc#aeea77

Word: https://nlpaics2026.gplsi.es/wp-content/uploads/2025/11/NLPAICS2026_Proceedings_Template.docx

Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/nlpaics2026/user/

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

Conference Chairs

Ruslan Mitkov (University of Alicante)

Rafael Muñoz (University of Alicante)

Programme Committee Chairs

Elena Lloret (University of Alicante)

Tharindu Ranasinghe (Lancaster University)

Publication Chair

Ernesto Estevanell (University of Alicante)

Sponsorship Chair

Andres Montoyo (University of Alicante)

Student Workshop Chair

Salima Lamsiyah (University of Luxembourg)

Best Paper Award Chair

Saad Ezzini (King Fahd University of Petroleum & Minerals)

Publicity Chair

Beatriz Botella (University of Alicante)

Social Programme Chair

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 [email protected]

Registration will open in March 2026.

Links:
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[1] http://summer-school.gplsi.es/NLPAICS_2026_LaTeX.zip
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