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 …

An Overview of Trustworthy AI: Advances in IP Protection, Privacy-preserving Federated Learning, Security Verification, and GAI Safety Alignment

Y Zheng, CH Chang, SH Huang… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
AI has undergone a remarkable evolution journey marked by groundbreaking milestones.
Like any powerful tool, it can be turned into a weapon for devastation in the wrong hands …

Decolonial AI Alignment: Openness, Viśesa-Dharma, and Including Excluded Knowledges

KR Varshney - Proceedings of the AAAI/ACM Conference on AI, Ethics …, 2024 - ojs.aaai.org
Prior work has explicated the coloniality of artificial intelligence (AI) development and
deployment through mechanisms such as extractivism, automation, sociological …

Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI

A Rawat, S Schoepf, G Zizzo, G Cornacchia… - arXiv preprint arXiv …, 2024 - arxiv.org
As generative AI, particularly large language models (LLMs), become increasingly
integrated into production applications, new attack surfaces and vulnerabilities emerge and …

Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward

X Xie, J Song, Z Zhou, Y Huang, D Song… - arXiv preprint arXiv …, 2024 - arxiv.org
While Large Language Models (LLMs) have seen widespread applications across
numerous fields, their limited interpretability poses concerns regarding their safe operations …

When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails

M Nagireddy, I Padhi, S Ghosh, P Sattigeri - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have convincing performance in a variety of downstream
tasks. However, these systems are prone to generating undesirable outputs such as harmful …

Hate Speech Detection using Large Language Models: A Comprehensive Review

A Albladi, M Islam, A Das, M Bigonah, Z Zhang… - IEEE …, 2025 - ieeexplore.ieee.org
The widespread use of social media and other online platforms has facilitated
unprecedented communication and information exchange. However, it has also led to the …

Trading Devil Final: Backdoor attack via Stock market and Bayesian Optimization

O Mengara - arXiv preprint arXiv:2407.14573, 2024 - arxiv.org
Since the advent of generative artificial intelligence, every company and researcher has
been rushing to develop their own generative models, whether commercial or not. Given the …

Scopes of Alignment

KR Varshney, Z Ashktorab, D Bouneffouf… - arXiv preprint arXiv …, 2025 - arxiv.org
Much of the research focus on AI alignment seeks to align large language models and other
foundation models to the context-less and generic values of helpfulness, harmlessness, and …

Grade Like a Human: Rethinking Automated Assessment with Large Language Models

W Xie, J Niu, CJ Xue, N Guan - arXiv preprint arXiv:2405.19694, 2024 - arxiv.org
While large language models (LLMs) have been used for automated grading, they have not
yet achieved the same level of performance as humans, especially when it comes to grading …