Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …

Retrieval-augmented generation (RAG) enhances the outputs of language models by
integrating relevant information retrieved from external knowledge sources. However, when …

Directly publishing the original data of social networks may compromise personal privacy
because social relationship data contain sensitive information about users. To protect the …

In the contemporary era, online social networks have become the prevalent medium for
interpersonal interactions, encompassing a multitude of virtual social relationships. To …

The edge computing paradigm has revolutionized the healthcare sector, providing more real-
time medical data processing and analysis, which also poses more serious privacy and …

Presently, the majority of social networking platforms tend to outsource the analysis of social
relationship data to third-party companies. Existing methods, which generally aim to protect …

A variety of conditions and limiting properties complicate the anonymization of trajectory
data, since they are sequential, high-dimensional, bound to geophysical restrictions and …

Differential Privacy (DP) is the de facto standard privacy metric in private learning. Its robust
mathematical definition makes it especially appealing for global data analytics without …

Differential Privacy (DP) is a widely used data privacy-preserving technique with single-
attribute DP being a common approach, in which manipulated noise is applied to each data …