Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness

O Friha, MA Ferrag, B Kantarci… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure

J Yu, Y Yu, X Wang, Y Lin, M Yang, Y Qiao… - arxiv preprint arxiv …, 2024 - arxiv.org
Social engineering (SE) attacks remain a significant threat to both individuals and
organizations. The advancement of Artificial Intelligence (AI), including diffusion models and …

[PDF][PDF] ContextLLM: Meaningful Context Reasoning from Multi-Sensor and Multi-Device Data Using LLMs

K Post, R Kuchida, M Olapade, Z Yin… - Proceedings of …, 2025 - researchportal.helsinki.fi
Conventional context awareness and activity recognition models produce abstract outputs
that offer limited insights into user behavior and situational context. These can be …

Large Vision-Language Model Security: A Survey

T Wang, Z Fang, H Xue, C Zhang, M **, W Xu… - … Conference on Frontiers …, 2024 - Springer
In the domain of Large Vision-Language Models (LVLMs), securing these models has
emerged as a critical issue for both researchers and practitioners. In this paper, we highlight …

reteLLMe: Design Rules for using Large Language Models to Protect the Privacy of Individuals in their Textual Contributions

M Brahem, J Watissee, C Eichler, A Boiret… - … Workshop on Data …, 2024 - inria.hal.science
The advanced inference capabilities of Large Language Models (LLMs) pose a significant
threat to the privacy of individuals by enabling third parties to accurately infer certain …

[PDF][PDF] PhD Thesis: Privacy-Enhancing Tools for Content Sanitization Using Large Language Models–Application to School Bullying and Harassment–

SN Anciaux, A Boiret, C Eichler - madics.fr
Objectives of the thesis. The advanced inference capabilities of Large Language Models
(LLMs) pose a significant threat to the privacy of individuals by enabling third parties to …