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20212026
most citedGenerative Adversarial Networks: A Survey Towards Private and Secure Applications

23 citations · 23 across the 9 of their papers we have counts for

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cs.CR2026

COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models

Md Abdullahil Oaphy, Anhao Xiang, Zongxing Xie +3

Multimodal large language models (MLLMs) are increasingly used to interact with screenshots, scanned documents, diagrams, and other visually grounded inputs. This shift introduces…

cs.CR2025

AgriSentinel: Privacy-Enhanced Embedded-LLM Crop Disease Alerting System

Chanti Raju Mylay, Bobin Deng, Zhipeng Cai +1

Crop diseases pose significant threats to global food security, agricultural productivity, and sustainable farming practices, directly affecting farmers' livelihoods and economic s…

cs.CR2025

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models

Honghui Xu, Shiva Shrestha, Wei Chen +2

As on-device large language model (LLM) systems become increasingly prevalent, federated fine-tuning enables advanced language understanding and generation directly on edge devices…

cs.CR2025

A Survey: Towards Privacy and Security in Mobile Large Language Models

Honghui Xu, Kaiyang Li, Wei Chen +3

Mobile Large Language Models (LLMs) are revolutionizing diverse fields such as healthcare, finance, and education with their ability to perform advanced natural language processing…

cs.CR2024

Security Risks Concerns of Generative AI in the IoT

Honghui Xu, Yingshu Li, Olusesi Balogun +3

In an era where the Internet of Things (IoT) intersects increasingly with generative Artificial Intelligence (AI), this article scrutinizes the emergent security risks inherent in…