Hong Shen

Semantic-Aware Dummy Selection for Location Privacy Preservation

2016

With the development of smart devices and mobile positioning technologies, location-based services (LBS) has become more and more popular. While enjoying the convenience and entertainments provided by LBS, users are vulnerable to the increased privacy …

Dp-graph2vec: Learning Differential Privacy Representations of Graphs

2024

Many machine learning tasks based on graph embedding achieved significant results in a wide range of fields, such as node clustering and link prediction. However, the original graph data may contain confidential information about individuals …

REALM: A Dataset of Real-World LLM Use Cases

2025

Large Language Models (LLMs), such as the GPT series, have driven significant industrial applications, leading to economic and societal transformations.However, a comprehensive understanding of their real-world applications remains limited.To address this, we introduce REALM, a …