4 papers
PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems
Shafizur Rahman Seeam, Zhengxiong Li, Zhiyuan Yu +3
Hybrid local--cloud agents enrich user requests with context from persistent working state before delegating capability-intensive subtasks to a cloud language model (CLM). While th…
ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation
Xingyu Lyu, Jianfeng He, Ning Wang +5
Retrieval-Augmented Generation (RAG) is widely used to augment large language models with external knowledge retrieval to improve reliability and generalization. However, recent st…
ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying
Xingyu Lyu, Jianfeng He, Ning Wang +5
Large Language Model (LLM) agents have achieved rapid adoption and demonstrated remarkable capabilities across a wide range of applications. To improve reasoning and task execution…
The Geometry of Coalition Power: Majorization, Lattices, and Displacement in Multiwinner Elections
Qian Guo, Yidan Hu, Rui Zhang
How much influence can a coordinated coalition exert in a multiwinner Top- election under a positional scoring rule? We study the maximum displacement problem: with coalition si…