3 papers
cs.CR2025
Jailbreaking LLMs via Semantically Relevant Nested Scenarios with Targeted Toxic Knowledge
Ning Xu, Bo Gao, Hui Dou
Large Language Models (LLMs) have demonstrated remarkable capabilities in various tasks. However, they remain exposed to jailbreak attacks, eliciting harmful responses. The nested…
cs.LG2025
DemoTuner: Automatic Performance Tuning for Database Management Systems Based on Demonstration Reinforcement Learning
Hui Dou, Lei Jin, Yuxuan Zhou +3
The performance of modern DBMSs such as MySQL and PostgreSQL heavily depends on the configuration of performance-critical knobs. Manual tuning these knobs is laborious and ineffici…
cs.LG2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services
Hui Dou, Shanshan Zhu, Yiwen Zhang +2
Hyper-parameters optimization (HPO) is vital for machine learning models. Besides model accuracy, other tuning intentions such as model training time and energy consumption are als…