4 papers
Adaptive Co-Serving LLM Watermarking on Modern Inference Engines
Kieu Dang, Phung Lai, Ching-Yun Ko +1
Large language model (LLM) watermarking is important for ownership verification and intellectual property protection. However, existing approaches focus on algorithmic design while…
Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection
Kieu Dang, Phung Lai, NhatHai Phan +2
Proprietary large language models (LLMs) face risks of intellectual property (IP) violation, as adversaries can replicate an LLM by collecting input-output pairs to train a surroga…
From Black Box to Insight: Explainable AI for Extreme Event Preparedness
Kiana Vu, İsmet Selçuk Özer, Phung Lai +3
As climate change accelerates the frequency and severity of extreme events such as wildfires, the need for accurate, explainable, and actionable forecasting becomes increasingly ur…
How to Backdoor HyperNetwork in Personalized Federated Learning?
Phung Lai, NhatHai Phan, Issa Khalil +2
This paper explores previously unknown backdoor risks in HyperNet-based personalized federated learning (HyperNetFL) through poisoning attacks. Based upon that, we propose a novel…