Recommender systems have become extremely common in recent years, and are utilized in
a variety of domains such as movies, music, news, products, restaurants, etc. While a typical …

Recently, the emerging Social Internet of Things (SIoT) has opened up a myriad of research
opportunities. One of the most fundamental research challenges posed by SIoT and its …

Identifying a cluster around a seed node in a graph, termed local clustering, finds use in
several applications, including fraud detection, targeted advertising, community detection …

Recommender systems have become extremely common in recent years and are utilized in
a variety of domains such as movies, music, news, products, restaurants, and so on. While a …

The performance of machine learning algorithms can be considerably improved when
trained over larger datasets. In many domains, such as medicine and finance, larger …

Recommender systems have become very influential in our everyday decision making, eg,
hel** us choose a movie from a content platform, or offering us suitable products on e …

We study the problem of privacy-preserving planarity testing of distributed graphs. The
setting involves several parties that hold private graphs on the same set of vertices, and an …

Securing voters' privacy and ensuring the integrity of the voting process are major design
goals in voting systems. We propose secure voting protocols for two families of voting rules …

安全多方计算(SMC) 是密码学领域**年来的研究热点, 是信息安全保护的关键技术.
区间安全多方计算问题在密码学中具有重要的理论意义. 之前的研究很少涉及到秘密区间 …