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 & quality
        • Detection and mitigation of hate speech & offensive language
        • Fake news, deepfakes, mis- & disinformation
        • Detection of machine-generated language (text, speech, gesture)
        • Trust & credibility of online information
    • User Security and Safety
        • Cyberbullying & offender identification
        • Monitoring extremist fora
        • Suicide prevention
        • Clickbait & scam detection
        • Fake profile detection in 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

Analysis 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 Aplications

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 & 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

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 Estabanell (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 NLPAICS2026@dlsi.ua.es

Registration will open in February 2026.

Scroll al inicio