International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security 2024 — accepted papers
International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security 2024 is the 2024 edition of the International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security, held in Lancaster, UK, July 2024 (publisher: Department of Languages and Information Systems, University of Alicante). The ACL Anthology lists 26 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Lancaster, United Kingdom · 🗓 July 2024
All accepted papers (26)
- A Proposal Framework Security Assessment for Large Language Models ↗Daniel Mendonça Colares, Raimir Holanda Filho, Luis Borges Gouveia
- Abusive Speech Detection in Serbian using Machine Learning ↗Danka Jokić, Ranka Stanković, Branislava Šandrih Todorović
- CECILIA: Enhancing CSIRT Effectiveness with Transformer-Based Cyber Incident Classification ↗Juan Jose Delgado Sotes, Alicia Martinez Mendoza, Andres Carofilis Vasco et al.
- Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation ↗T.G.D.K. Sumanathilaka, Nicholas Micallef, Julian Hough
- Comparative Analysis of Natural Language Processing Models for Malware Spam Email Identification ↗Francisco Jáñez-Martino, Eduardo Fidalgo, Rocío Alaiz-Rodríguez et al.
- Comprehensive threat analysis and systematic mapping of CVEs to MITRE framework ↗Stefano Simonetto, Peter Bosch
- Deciphering Cyber Threats: A Unifying Framework with GPT-3.5, BERTopic and Feature Importance ↗Chun Man Tsang, Tom Bell, Antonios Gouglidis et al.
- Explainability of machine learning approaches in forensic linguistics: a case study in geolinguistic authorship profiling ↗Dana Roemling, Yves Scherrer, Aleksandra Miletić
- Human-in-the-loop Anomaly Detection and Contextual Intelligence for Enhancing Cybersecurity Management ↗Thomas Schaberreiter, Jerry Andriessen, Cinzia Cappiello et al.
- Is it Offensive or Abusive? An Empirical Study of Hateful Language Detection of Arabic Social Media TextsSalim Al Mandhari, Mo El-Haj, Paul Raysonour summary
- LSTM-PSO: NLP-based model for detecting Phishing Attacks ↗Abdulrahman A. Alshdadi
- Measuring the Effect of Induced Persona on Agenda Creation in Language-based Agents for Cyber Deception ↗Lewis Newsham, Daniel Prince, Ryan Hyland
- Metric-Oriented Pretraining of Neural Source Code Summarisation Transformers to Enable more Secure Software Development ↗Jesse Phillips, Mo El-Haj, Tracy Hall
- Not Everything Is Online Grooming: False Risk Finding in Large Language Model Assessments of Human Conversations ↗Ellie Prosser, Matthew Edwards
- Predatory Publication of AI-Generated Research Papers ↗Lizzie Burgiss, Ben Tatum, Christopher Henshaw et al.
- Predicting Software Vulnerability Trends with Multi-Recurrent Neural Networks: A Time Series Forecasting Approach ↗Abanisenioluwa K. Orojo, Webster C. Elumelu, Oluwatamilore O. Orojo
- Privacy Preservation in Federated Market Basket Analysis using Homomorphic Encryption ↗Sameeka Saini, Durga Toshniwal
- Redacted Contextual Question Answering with Generative Large Language Models ↗Jacob Lichtefeld, Joe A. Cecil, Alex Hedges et al.
- SpamClus: An Agglomerative Clustering Algorithm for Spam Email Campaigns Detection ↗Daniel Díaz, Wesam Al-Nabki, Laura Fernández-Robles et al.
- The Elsagate Corpus: Characterising Commentary on Alarming Video Content ↗Panagiotis Soustas, Matthew Edwards
- The Influence of the Perplexity Score in the Detection of Machine-generated Texts ↗Alberto José Gutiérrez Megías, L. Alfonso Ureña-López, Eugenio Martínez Cámara
- U-BERTopic: An Urgency-Aware BERT-Topic Modeling Approach for Detecting CyberSecurity Issues via Social Media ↗Majed Albarrak, Gabriele Pergola, Arshad Jhumka
- Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health and Therapeutic Counselling ↗Vivek Kumar, Pushpraj Singh Rajwat, Giacomo Medda et al.
Papers with our summary in our library (1)
- Is it Offensive or Abusive? An Empirical Study of Hateful Language Detection of Arabic Social Media TextsInternational Conference on Natural Language Processing and Artificial Intelligence for Cyber SecuritySalim Al Mandhari, Mo El-Haj, Paul Rayson2024 · 1 citation
Top topics
Fields
Top authors
🧑🔬Mo El-Haj1 work here · 1 citation🧑🔬Paul Rayson1 work here · 1 citation🧑🔬Salim Al Mandhari1 work here · 1 citation
Top institutions
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