AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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Here you can find the complete list of our publications.
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You can expand the Abstract, Links and BibTex record for each paper.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Huang, D.; Ge, M.; Xiang, K.; Zhang, X.; Yang, H.
Privacy Preservation of Large Language Models in the Metaverse Era: Research Frontiers, Categorical Comparisons, and Future Directions Proceedings Article
In: Int J Network Manage, John Wiley and Sons Ltd, 2025, ISBN: 10557148 (ISSN).
Abstract | Links | BibTeX | Tags: Adversarial networks, Computational Linguistics, Cryptography, Differential privacies, Excel, Language Model, Large language model, large language models, Life cycle, Metaverse, Metaverses, Natural language processing systems, Natural languages, Privacy preservation, Privacy protection, Research frontiers
@inproceedings{huang_privacy_2025,
title = {Privacy Preservation of Large Language Models in the Metaverse Era: Research Frontiers, Categorical Comparisons, and Future Directions},
author = {D. Huang and M. Ge and K. Xiang and X. Zhang and H. Yang},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199980257&doi=10.1002%2fnem.2292&partnerID=40&md5=2dea1caa1d31aecde3d302a908fb7dd3},
doi = {10.1002/nem.2292},
isbn = {10557148 (ISSN)},
year = {2025},
date = {2025-01-01},
booktitle = {Int J Network Manage},
volume = {35},
publisher = {John Wiley and Sons Ltd},
abstract = {Large language models (LLMs), with their billions to trillions of parameters, excel in natural language processing, machine translation, dialog systems, and text summarization. These capabilities are increasingly pivotal in the metaverse, where they can enhance virtual interactions and environments. However, their extensive use, particularly in the metaverse's immersive platforms, raises significant privacy concerns. This paper analyzes existing privacy issues in LLMs, vital for both traditional and metaverse applications, and examines protection techniques across the entire life cycle of these models, from training to user deployment. We delve into cryptography, embedding layer encoding, differential privacy and its variants, and adversarial networks, highlighting their relevance in the metaverse context. Specifically, we explore technologies like homomorphic encryption and secure multiparty computation, which are essential for metaverse security. Our discussion on Gaussian differential privacy, Renyi differential privacy, Edgeworth accounting, and the generation of adversarial samples and loss functions emphasizes their importance in the metaverse's dynamic and interactive environments. Lastly, the paper discusses the current research status and future challenges in the security of LLMs within and beyond the metaverse, emphasizing urgent problems and potential areas for exploration. © 2024 John Wiley & Sons Ltd.},
keywords = {Adversarial networks, Computational Linguistics, Cryptography, Differential privacies, Excel, Language Model, Large language model, large language models, Life cycle, Metaverse, Metaverses, Natural language processing systems, Natural languages, Privacy preservation, Privacy protection, Research frontiers},
pubstate = {published},
tppubtype = {inproceedings}
}
Large language models (LLMs), with their billions to trillions of parameters, excel in natural language processing, machine translation, dialog systems, and text summarization. These capabilities are increasingly pivotal in the metaverse, where they can enhance virtual interactions and environments. However, their extensive use, particularly in the metaverse's immersive platforms, raises significant privacy concerns. This paper analyzes existing privacy issues in LLMs, vital for both traditional and metaverse applications, and examines protection techniques across the entire life cycle of these models, from training to user deployment. We delve into cryptography, embedding layer encoding, differential privacy and its variants, and adversarial networks, highlighting their relevance in the metaverse context. Specifically, we explore technologies like homomorphic encryption and secure multiparty computation, which are essential for metaverse security. Our discussion on Gaussian differential privacy, Renyi differential privacy, Edgeworth accounting, and the generation of adversarial samples and loss functions emphasizes their importance in the metaverse's dynamic and interactive environments. Lastly, the paper discusses the current research status and future challenges in the security of LLMs within and beyond the metaverse, emphasizing urgent problems and potential areas for exploration. © 2024 John Wiley & Sons Ltd.
2024
Bayat, R.; Maio, E. De; Fiorenza, J.; Migliorini, M.; Lamberti, F.
Exploring Methodologies to Create a Unified VR User-Experience in the Field of Virtual Museum Experiences Proceedings Article
In: IEEE Gaming, Entertain., Media Conf., GEM, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037453-7 (ISBN).
Abstract | Links | BibTeX | Tags: Cultural heritages, Meta-museum, Meta-museums, Metaverse, Metaverses, Research frontiers, Research opportunities, user experience, User experience design, User interfaces, User-Experience Design, Users' experiences, Virtual avatar, Virtual machine, Virtual museum, Virtual Reality, Virtual reality experiences
@inproceedings{bayat_exploring_2024,
title = {Exploring Methodologies to Create a Unified VR User-Experience in the Field of Virtual Museum Experiences},
author = {R. Bayat and E. De Maio and J. Fiorenza and M. Migliorini and F. Lamberti},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199517817&doi=10.1109%2fGEM61861.2024.10585452&partnerID=40&md5=203c7b426a11144acc7a2fedbbac6a98},
doi = {10.1109/GEM61861.2024.10585452},
isbn = {979-835037453-7 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {IEEE Gaming, Entertain., Media Conf., GEM},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The emergence of Virtual Reality (VR) and meta-verse have opened doors to new research opportunities and frontiers in User Experience (UX). Within the cultural heritage domain, one of the key concepts is that of the Virtual Museums (VMs), whose definition has been extended through time by many research works and applications. However, most of the studies performed so far focused on only one application, and studied its UX without taking into account the experience with other VR experiences possibly available in the VM. The purpose of this work is to give a contribution for an optimal design to create a unified UX across multiple VR experiences. More specifically, the research included the development of two applications, respectively a VM in a metaverse platform and a virtual learning workshop as an individual application. With this premise, the study will also consider two fundamental elements for an effective UX design: a Virtual Environment (VE) and an Intelligent Virtual Avatar (IVA). In particular, the latest was developed following current trends about generative AI, integrating an IVA powered by a Large Language Model (LLM). © 2024 IEEE.},
keywords = {Cultural heritages, Meta-museum, Meta-museums, Metaverse, Metaverses, Research frontiers, Research opportunities, user experience, User experience design, User interfaces, User-Experience Design, Users' experiences, Virtual avatar, Virtual machine, Virtual museum, Virtual Reality, Virtual reality experiences},
pubstate = {published},
tppubtype = {inproceedings}
}
The emergence of Virtual Reality (VR) and meta-verse have opened doors to new research opportunities and frontiers in User Experience (UX). Within the cultural heritage domain, one of the key concepts is that of the Virtual Museums (VMs), whose definition has been extended through time by many research works and applications. However, most of the studies performed so far focused on only one application, and studied its UX without taking into account the experience with other VR experiences possibly available in the VM. The purpose of this work is to give a contribution for an optimal design to create a unified UX across multiple VR experiences. More specifically, the research included the development of two applications, respectively a VM in a metaverse platform and a virtual learning workshop as an individual application. With this premise, the study will also consider two fundamental elements for an effective UX design: a Virtual Environment (VE) and an Intelligent Virtual Avatar (IVA). In particular, the latest was developed following current trends about generative AI, integrating an IVA powered by a Large Language Model (LLM). © 2024 IEEE.