Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - arXiv preprint arXiv:2311.05656, 2023 - arxiv.org
Misinformation such as fake news and rumors is a serious threat on information ecosystems
and public trust. The emergence of Large Language Models (LLMs) has great potential to …

Generative recommendation: Towards next-generation recommender paradigm

W Wang, X Lin, F Feng, X He, TS Chua - arXiv preprint arXiv:2304.03516, 2023 - arxiv.org
Recommender systems typically retrieve items from an item corpus for personalized
recommendations. However, such a retrieval-based recommender paradigm faces two …

Editguard: Versatile image watermarking for tamper localization and copyright protection

X Zhang, R Li, J Yu, Y Xu, W Li… - Proceedings of the …, 2024 - openaccess.thecvf.com
In the era of AI-generated content (AIGC) malicious tampering poses imminent threats to
copyright integrity and information security. Current deep image watermarking while widely …

Large language models for cyber security: A systematic literature review

HX Xu, SA Wang, N Li, Y Zhao, K Chen, K Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

Generative Artificial Intelligence in Education: From Deceptive to Disruptive

M Alier, F García-Peñalvo, JD Camba - 2024 - reunir.unir.net
Generative Artificial Intelligence (GenAI) has emerged as a promising technology that can
create original content, such as text, images, and sound. The use of GenAI in educational …

Llms may dominate information access: Neural retrievers are biased towards llm-generated texts

S Dai, Y Zhou, L Pang, W Liu, X Hu, Y Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, the emergence of large language models (LLMs) has revolutionized the paradigm
of information retrieval (IR) applications, especially in web search. With their remarkable …

Understanding and improving adversarial attacks on latent diffusion model

B Zheng, C Liang, X Wu, Y Liu - arXiv preprint arXiv:2310.04687, 2023 - arxiv.org
Latent Diffusion Model (LDM) has emerged as a leading tool in image generation,
particularly with its capability in few-shot generation. This capability also presents risks …

Building Secure and Engaging Video Communication by Using Monitor Illumination

JM Choi, J Leung, N Frahm… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we develop a neural network that can detect a mismatch between the light
emitted from a monitor and the light reflected from the face of a user sitting in front of a …

A Survey of Generative AI for Intelligent Transportation Systems

H Yan, Y Li - arXiv preprint arXiv:2312.08248, 2023 - arxiv.org
Intelligent transportation systems play a crucial role in modern traffic management and
optimization, greatly improving traffic efficiency and safety. With the rapid development of …

A fair and scalable watermarking scheme for the digital content trading industry

X Xiao, M Su, J Jiang, Y Zhang, Z Hua, Z Xia - Computers in Industry, 2024 - Elsevier
The booming Internet economy and generative artificial intelligence have driven the rapid
growth of the digital content trading industry, creating an urgent need for the fair protection of …