5 citations · 5 across the 5 of their papers we have counts for
5 papers
Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications
Xiaoyue Lu, Xianglin Yang, Haijun Liu +4
The widespread integration of Large Language Models (LLMs) necessitates rigorous and systematic safety evaluation. Existing paradigms either rely on constructed benchmarks to asses…
AutoContext: Instance-Level Context Learning for LLM Agents
Kuntai Cai, Juncheng Liu, Xianglin Yang +3
Current LLM agents typically lack instance-level context, which comprises concrete facts such as environment structure, system configurations, and local mechanics. Consequently, ex…
PrivPetal: Relational Data Synthesis via Permutation Relations
Kuntai Cai, Xiaokui Xiao, Yin Yang
Releasing relational databases while preserving privacy is an important research problem with numerous applications. A canonical approach is to generate synthetic data under differ…
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation
Jianxin Wei, Yizheng Zhu, Xiaokui Xiao +4
Graph Convolutional Networks (GCNs) are a popular machine learning model with a wide range of applications in graph analytics, including healthcare, transportation, and finance. Ho…
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy
Kuntai Cai, Xiaokui Xiao, Graham Cormode
Answering database queries while preserving privacy is an important problem that has attracted considerable research attention in recent years. A canonical approach to this problem…